R version 4.3.1 Patched (2023-08-12 r84937) -- "Beagle Scouts"
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Platform: x86_64-pc-linux-gnu (64-bit)
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> library(cluster)
>
> data(animals)
> (mani <- mona(animals, trace=TRUE))
Loop npass = 1: (ka,kb) = (1,20)
for(j ..) -> jma=1, jtel(.,z) = (10, 10) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 10, 10, 11)
--> nclu = 2, kwan[ka] = 10
L500; found kwan[1] = 10 >= 2 ==> Loop again
Loop npass = 2: (ka,kb) = (1,10)
for(j ..) -> jma=3, jtel(.,z) = (4, 6) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 6, 4, 7)
--> nclu = 3, kwan[ka] = 4
Loop npass = 2: (ka,kb) = (11,20)
for(j ..) -> jma=2, jtel(.,z) = (2, 8) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 8, 2, 19)
--> nclu = 4, kwan[ka] = 2
L500; found kwan[1] = 6 >= 2 ==> Loop again
Loop npass = 3: (ka,kb) = (1,6)
for(j ..) -> jma=2, jtel(.,z) = (2, 4) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 4, 2, 5)
--> nclu = 5, kwan[ka] = 2
Loop npass = 3: (ka,kb) = (7,10)
for(j ..) -> jma=4, jtel(.,z) = (1, 3) --> splitting: ka=7, ner[ka]=11 => (nzf, jtel2, jres, km) = (0, 1, 3, 8)
--> nclu = 6, kwan[ka] = 3
Loop npass = 3: (ka,kb) = (11,18)
for(j ..) -> jma=4, jtel(.,z) = (5, 3) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 3, 5, 14)
--> nclu = 7, kwan[ka] = 5
Loop npass = 3: (ka,kb) = (19,20)
for(j ..) -> jma=4, jtel(.,z) = (1, 1) --> splitting: ka=19, ner[ka]=7 => (nzf, jtel2, jres, km) = (1, 1, 1, 20)
--> nclu = 8, kwan[ka] = 1
L500; found kwan[1] = 4 >= 2 ==> Loop again
Loop npass = 4: (ka,kb) = (1,4)
for(j ..) -> jma=5, jtel(.,z) = (1, 3) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (0, 1, 3, 2)
--> nclu = 9, kwan[ka] = 3
Loop npass = 4: (ka,kb) = (5,6)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> splitting: ka=5, ner[ka]=2 => (nzf, jtel2, jres, km) = (0, 1, 1, 6)
--> nclu = 10, kwan[ka] = 1
Loop npass = 4: (ka,kb) = (8,10)
for(j ..) -> jma=5, jtel(.,z) = (1, 2) --> splitting: ka=8, ner[ka]=12 => (nzf, jtel2, jres, km) = (0, 1, 2, 9)
--> nclu = 11, kwan[ka] = 2
Loop npass = 4: (ka,kb) = (11,13)
for(j ..) -> jma=5, jtel(.,z) = (2, 1) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 1, 2, 12)
--> nclu = 12, kwan[ka] = 2
Loop npass = 4: (ka,kb) = (14,18)
for(j ..) -> jma=6, jtel(.,z) = (3, 2) --> splitting: ka=14, ner[ka]=5 => (nzf, jtel2, jres, km) = (0, 3, 2, 17)
--> nclu = 13, kwan[ka] = 2
L500; found kwan[2] = 3 >= 2 ==> Loop again
Loop npass = 5: (ka,kb) = (2,4)
for(j ..) -> jma=6, jtel(.,z) = (2, 1) --> splitting: ka=2, ner[ka]=4 => (nzf, jtel2, jres, km) = (0, 2, 1, 4)
--> nclu = 14, kwan[ka] = 1
Loop npass = 5: (ka,kb) = (9,10)
for(j ..) -> jma=6, jtel(.,z) = (2, 1) --> _NO_ splitting
--> nclu = 14, kwan[ka] = -2
Loop npass = 5: (ka,kb) = (12,13)
for(j ..) -> jma=6, jtel(.,z) = (2, 1) --> _NO_ splitting
--> nclu = 14, kwan[ka] = -2
Loop npass = 5: (ka,kb) = (14,16)
for(j ..) -> jma=6, jtel(.,z) = (2, 1) --> _NO_ splitting
--> nclu = 14, kwan[ka] = -3
Loop npass = 5: (ka,kb) = (17,18)
for(j ..) -> jma=6, jtel(.,z) = (2, 1) --> _NO_ splitting
--> nclu = 14, kwan[ka] = -2
L500; found kwan[2] = 2 >= 2 ==> Loop again
Loop npass = 6: (ka,kb) = (2,3)
for(j ..) -> jma=6, jtel(.,z) = (2, 1) --> _NO_ splitting
--> nclu = 14, kwan[ka] = -2
mona(x, ..) fit; x of dimension 20x6
Because of NA's, revised data:
war fly ver end gro hai
ant 0 0 0 0 1 0
bee 0 1 0 0 1 1
cat 1 0 1 0 0 1
cpl 0 0 0 0 0 1
chi 1 0 1 1 1 1
cow 1 0 1 0 1 1
duc 1 1 1 0 1 0
eag 1 1 1 1 0 0
ele 1 0 1 1 1 0
fly 0 1 0 0 0 0
fro 0 0 1 1 0 0
her 0 0 1 0 1 0
lio 1 0 1 1 1 1
liz 0 0 1 0 0 0
lob 0 0 0 0 0 0
man 1 0 1 1 1 1
rab 1 0 1 0 1 1
sal 0 0 1 0 0 0
spi 0 0 0 0 0 1
wha 1 0 1 1 1 0
Order of objects:
[1] ant cpl spi lob bee fly fro her liz sal cat cow rab chi lio man ele wha duc
[20] eag
Variable used:
[1] gro NULL hai fly gro ver end gro NULL war gro NULL end NULL NULL
[16] hai NULL fly end
Separation step:
[1] 4 0 5 3 4 2 3 4 0 1 4 0 3 0 0 4 0 2 3
Available components:
[1] "data" "hasNA" "order" "variable" "step" "order.lab"
[7] "call"
> str(mani)
List of 7
$ data : int [1:20, 1:6] 0 0 1 0 1 1 1 1 1 0 ...
..- attr(*, "dimnames")=List of 2
.. ..$ : chr [1:20] "ant" "bee" "cat" "cpl" ...
.. ..$ : chr [1:6] "war" "fly" "ver" "end" ...
$ hasNA : logi TRUE
$ order : int [1:20] 1 4 19 15 2 10 11 12 14 18 ...
$ variable : chr [1:19] "gro" "NULL" "hai" "fly" ...
$ step : int [1:19] 4 0 5 3 4 2 3 4 0 1 ...
$ order.lab: chr [1:20] "ant" "cpl" "spi" "lob" ...
$ call : language mona(x = animals, trace.lev = TRUE)
- attr(*, "class")= chr "mona"
> ## version of the data withOUT missing:
> animal.F <- mani$data
> (maniF <- mona(animal.F, trace=TRUE))
Loop npass = 1: (ka,kb) = (1,20)
for(j ..) -> jma=1, jtel(.,z) = (10, 10) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 10, 10, 11)
--> nclu = 2, kwan[ka] = 10
L500; found kwan[1] = 10 >= 2 ==> Loop again
Loop npass = 2: (ka,kb) = (1,10)
for(j ..) -> jma=3, jtel(.,z) = (4, 6) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 6, 4, 7)
--> nclu = 3, kwan[ka] = 4
Loop npass = 2: (ka,kb) = (11,20)
for(j ..) -> jma=2, jtel(.,z) = (2, 8) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 8, 2, 19)
--> nclu = 4, kwan[ka] = 2
L500; found kwan[1] = 6 >= 2 ==> Loop again
Loop npass = 3: (ka,kb) = (1,6)
for(j ..) -> jma=2, jtel(.,z) = (2, 4) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 4, 2, 5)
--> nclu = 5, kwan[ka] = 2
Loop npass = 3: (ka,kb) = (7,10)
for(j ..) -> jma=4, jtel(.,z) = (1, 3) --> splitting: ka=7, ner[ka]=11 => (nzf, jtel2, jres, km) = (0, 1, 3, 8)
--> nclu = 6, kwan[ka] = 3
Loop npass = 3: (ka,kb) = (11,18)
for(j ..) -> jma=4, jtel(.,z) = (5, 3) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 3, 5, 14)
--> nclu = 7, kwan[ka] = 5
Loop npass = 3: (ka,kb) = (19,20)
for(j ..) -> jma=4, jtel(.,z) = (1, 1) --> splitting: ka=19, ner[ka]=7 => (nzf, jtel2, jres, km) = (1, 1, 1, 20)
--> nclu = 8, kwan[ka] = 1
L500; found kwan[1] = 4 >= 2 ==> Loop again
Loop npass = 4: (ka,kb) = (1,4)
for(j ..) -> jma=5, jtel(.,z) = (1, 3) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (0, 1, 3, 2)
--> nclu = 9, kwan[ka] = 3
Loop npass = 4: (ka,kb) = (5,6)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> splitting: ka=5, ner[ka]=2 => (nzf, jtel2, jres, km) = (0, 1, 1, 6)
--> nclu = 10, kwan[ka] = 1
Loop npass = 4: (ka,kb) = (8,10)
for(j ..) -> jma=5, jtel(.,z) = (1, 2) --> splitting: ka=8, ner[ka]=12 => (nzf, jtel2, jres, km) = (0, 1, 2, 9)
--> nclu = 11, kwan[ka] = 2
Loop npass = 4: (ka,kb) = (11,13)
for(j ..) -> jma=5, jtel(.,z) = (2, 1) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 1, 2, 12)
--> nclu = 12, kwan[ka] = 2
Loop npass = 4: (ka,kb) = (14,18)
for(j ..) -> jma=6, jtel(.,z) = (3, 2) --> splitting: ka=14, ner[ka]=5 => (nzf, jtel2, jres, km) = (0, 3, 2, 17)
--> nclu = 13, kwan[ka] = 2
L500; found kwan[2] = 3 >= 2 ==> Loop again
Loop npass = 5: (ka,kb) = (2,4)
for(j ..) -> jma=6, jtel(.,z) = (2, 1) --> splitting: ka=2, ner[ka]=4 => (nzf, jtel2, jres, km) = (0, 2, 1, 4)
--> nclu = 14, kwan[ka] = 1
Loop npass = 5: (ka,kb) = (9,10)
for(j ..) -> jma=6, jtel(.,z) = (2, 1) --> _NO_ splitting
--> nclu = 14, kwan[ka] = -2
Loop npass = 5: (ka,kb) = (12,13)
for(j ..) -> jma=6, jtel(.,z) = (2, 1) --> _NO_ splitting
--> nclu = 14, kwan[ka] = -2
Loop npass = 5: (ka,kb) = (14,16)
for(j ..) -> jma=6, jtel(.,z) = (2, 1) --> _NO_ splitting
--> nclu = 14, kwan[ka] = -3
Loop npass = 5: (ka,kb) = (17,18)
for(j ..) -> jma=6, jtel(.,z) = (2, 1) --> _NO_ splitting
--> nclu = 14, kwan[ka] = -2
L500; found kwan[2] = 2 >= 2 ==> Loop again
Loop npass = 6: (ka,kb) = (2,3)
for(j ..) -> jma=6, jtel(.,z) = (2, 1) --> _NO_ splitting
--> nclu = 14, kwan[ka] = -2
mona(x, ..) fit; x of dimension 20x6
Order of objects:
[1] ant cpl spi lob bee fly fro her liz sal cat cow rab chi lio man ele wha duc
[20] eag
Variable used:
[1] gro NULL hai fly gro ver end gro NULL war gro NULL end NULL NULL
[16] hai NULL fly end
Separation step:
[1] 4 0 5 3 4 2 3 4 0 1 4 0 3 0 0 4 0 2 3
Available components:
[1] "data" "hasNA" "order" "variable" "step" "order.lab"
[7] "call"
>
> data(plantTraits)
> ## Now construct 'plantT2' which has *all* binary variables
> not2 <- vapply(plantTraits, function(var) !(is.factor(var) && nlevels(var) == 2), NA)
> names(plantTraits)[not2]
[1] "pdias" "longindex" "durflow" "height" "begflow" "mycor"
[7] "vegaer" "vegsout" "autopoll" "insects" "wind"
>
> plantT2 <- plantTraits
> for(n in names(plantTraits)[not2]) {
+ v <- plantTraits[,n]
+ if(is.factor(v)) {
+ lv <- as.integer(levels(v))# ok for this data
+ v <- as.integer(v)
+ M <- median(lv)
+ } else M <- median(v, na.rm = TRUE)
+ stopifnot(is.finite(M))
+ plantT2[,n] <- (v <= M)
+ }
> summary(plantT2)
pdias longindex durflow height
Mode :logical Mode :logical Mode :logical Mode :logical
FALSE:50 FALSE:54 FALSE:39 FALSE:52
TRUE :50 TRUE :57 TRUE :97 TRUE :84
NA's :36 NA's :25
begflow mycor vegaer vegsout
Mode :logical Mode :logical Mode :logical Mode :logical
FALSE:58 FALSE:87 FALSE:17 FALSE:38
TRUE :78 TRUE :10 TRUE :117 TRUE :96
NA's :39 NA's :2 NA's :2
autopoll insects wind lign piq ros
Mode :logical Mode :logical Mode :logical 0:93 0:119 0 :120
FALSE:63 FALSE:84 FALSE:39 1:43 1: 17 1 : 12
TRUE :73 TRUE :52 TRUE :97 NA's: 4
semiros leafy suman winan monocarp polycarp seasaes seashiv
0 :97 0 :47 0:117 0:124 0:127 0: 19 0 :85 0 :128
1 :35 1 :85 1: 19 1: 12 1: 9 1:117 1 :47 1 : 4
NA's: 4 NA's: 4 NA's: 4 NA's: 4
seasver everalw everparti elaio endozoo epizoo aquat
0 :126 0 :78 0 :112 0 :119 0 :93 0 :109 0 :128
1 : 6 1 :54 1 : 20 1 : 12 1 :38 1 : 22 1 : 3
NA's: 4 NA's: 4 NA's: 4 NA's: 5 NA's: 5 NA's: 5 NA's: 5
windgl unsp
0 :108 0 :93
1 : 23 1 :38
NA's: 5 NA's: 5
>
> (mon.pl2 <- mona(plantT2, trace = TRUE))
Loop npass = 1: (ka,kb) = (1,136)
for(j ..) -> jma=12, jtel(.,z) = (43, 93) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (0, 43, 93, 44)
--> nclu = 2, kwan[ka] = 93
L500; found kwan[1] = 43 >= 2 ==> Loop again
Loop npass = 2: (ka,kb) = (1,43)
for(j ..) -> jma=11, jtel(.,z) = (33, 10) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (0, 33, 10, 34)
--> nclu = 3, kwan[ka] = 10
Loop npass = 2: (ka,kb) = (44,136)
for(j ..) -> jma=24, jtel(.,z) = (47, 46) --> splitting: ka=44, ner[ka]=3 => (nzf, jtel2, jres, km) = (0, 47, 46, 91)
--> nclu = 4, kwan[ka] = 46
L500; found kwan[1] = 33 >= 2 ==> Loop again
Loop npass = 3: (ka,kb) = (1,33)
for(j ..) -> jma=9, jtel(.,z) = (20, 13) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (0, 20, 13, 21)
--> nclu = 5, kwan[ka] = 13
Loop npass = 3: (ka,kb) = (34,43)
for(j ..) -> jma=21, jtel(.,z) = (8, 2) --> splitting: ka=34, ner[ka]=14 => (nzf, jtel2, jres, km) = (0, 8, 2, 42)
--> nclu = 6, kwan[ka] = 2
Loop npass = 3: (ka,kb) = (44,90)
for(j ..) -> jma=11, jtel(.,z) = (26, 21) --> splitting: ka=44, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 21, 26, 65)
--> nclu = 7, kwan[ka] = 26
Loop npass = 3: (ka,kb) = (91,136)
for(j ..) -> jma=17, jtel(.,z) = (15, 31) --> splitting: ka=91, ner[ka]=6 => (nzf, jtel2, jres, km) = (0, 15, 31, 106)
--> nclu = 8, kwan[ka] = 31
L500; found kwan[1] = 20 >= 2 ==> Loop again
Loop npass = 4: (ka,kb) = (1,20)
for(j ..) -> jma=21, jtel(.,z) = (11, 9) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (0, 11, 9, 12)
--> nclu = 9, kwan[ka] = 9
Loop npass = 4: (ka,kb) = (21,33)
for(j ..) -> jma=21, jtel(.,z) = (8, 5) --> splitting: ka=21, ner[ka]=31 => (nzf, jtel2, jres, km) = (0, 8, 5, 29)
--> nclu = 10, kwan[ka] = 5
Loop npass = 4: (ka,kb) = (34,41)
for(j ..) -> jma=27, jtel(.,z) = (2, 6) --> splitting: ka=34, ner[ka]=14 => (nzf, jtel2, jres, km) = (1, 6, 2, 40)
--> nclu = 11, kwan[ka] = 2
Loop npass = 4: (ka,kb) = (42,43)
for(j ..) -> jma=7, jtel(.,z) = (1, 1) --> splitting: ka=42, ner[ka]=99 => (nzf, jtel2, jres, km) = (0, 1, 1, 43)
--> nclu = 12, kwan[ka] = 1
Loop npass = 4: (ka,kb) = (44,64)
for(j ..) -> jma=28, jtel(.,z) = (8, 13) --> splitting: ka=44, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 13, 8, 57)
--> nclu = 13, kwan[ka] = 8
Loop npass = 4: (ka,kb) = (65,90)
for(j ..) -> jma=15, jtel(.,z) = (12, 14) --> splitting: ka=65, ner[ka]=5 => (nzf, jtel2, jres, km) = (0, 12, 14, 77)
--> nclu = 14, kwan[ka] = 14
Loop npass = 4: (ka,kb) = (91,105)
for(j ..) -> jma=25, jtel(.,z) = (6, 9) --> splitting: ka=91, ner[ka]=6 => (nzf, jtel2, jres, km) = (1, 9, 6, 100)
--> nclu = 15, kwan[ka] = 6
Loop npass = 4: (ka,kb) = (106,136)
for(j ..) -> jma=5, jtel(.,z) = (12, 19) --> splitting: ka=106, ner[ka]=8 => (nzf, jtel2, jres, km) = (0, 12, 19, 118)
--> nclu = 16, kwan[ka] = 19
L500; found kwan[1] = 11 >= 2 ==> Loop again
Loop npass = 5: (ka,kb) = (1,11)
for(j ..) -> jma=2, jtel(.,z) = (5, 6) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (0, 5, 6, 6)
--> nclu = 17, kwan[ka] = 6
Loop npass = 5: (ka,kb) = (12,20)
for(j ..) -> jma=2, jtel(.,z) = (4, 5) --> splitting: ka=12, ner[ka]=19 => (nzf, jtel2, jres, km) = (1, 5, 4, 17)
--> nclu = 18, kwan[ka] = 4
Loop npass = 5: (ka,kb) = (21,28)
for(j ..) -> jma=5, jtel(.,z) = (6, 2) --> splitting: ka=21, ner[ka]=31 => (nzf, jtel2, jres, km) = (0, 6, 2, 27)
--> nclu = 19, kwan[ka] = 2
Loop npass = 5: (ka,kb) = (29,33)
for(j ..) -> jma=1, jtel(.,z) = (4, 1) --> splitting: ka=29, ner[ka]=68 => (nzf, jtel2, jres, km) = (1, 1, 4, 30)
--> nclu = 20, kwan[ka] = 4
Loop npass = 5: (ka,kb) = (34,39)
for(j ..) -> jma=1, jtel(.,z) = (2, 4) --> splitting: ka=34, ner[ka]=14 => (nzf, jtel2, jres, km) = (0, 2, 4, 36)
--> nclu = 21, kwan[ka] = 4
Loop npass = 5: (ka,kb) = (40,41)
for(j ..) -> jma=3, jtel(.,z) = (1, 1) --> splitting: ka=40, ner[ka]=28 => (nzf, jtel2, jres, km) = (1, 1, 1, 41)
--> nclu = 22, kwan[ka] = 1
Loop npass = 5: (ka,kb) = (44,56)
for(j ..) -> jma=6, jtel(.,z) = (5, 8) --> splitting: ka=44, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 8, 5, 52)
--> nclu = 23, kwan[ka] = 5
Loop npass = 5: (ka,kb) = (57,64)
for(j ..) -> jma=6, jtel(.,z) = (3, 5) --> splitting: ka=57, ner[ka]=10 => (nzf, jtel2, jres, km) = (1, 5, 3, 62)
--> nclu = 24, kwan[ka] = 3
Loop npass = 5: (ka,kb) = (65,76)
for(j ..) -> jma=19, jtel(.,z) = (5, 7) --> splitting: ka=65, ner[ka]=5 => (nzf, jtel2, jres, km) = (1, 7, 5, 72)
--> nclu = 25, kwan[ka] = 5
Loop npass = 5: (ka,kb) = (77,90)
for(j ..) -> jma=14, jtel(.,z) = (7, 7) --> splitting: ka=77, ner[ka]=42 => (nzf, jtel2, jres, km) = (1, 7, 7, 84)
--> nclu = 26, kwan[ka] = 7
Loop npass = 5: (ka,kb) = (91,99)
for(j ..) -> jma=3, jtel(.,z) = (5, 4) --> splitting: ka=91, ner[ka]=6 => (nzf, jtel2, jres, km) = (0, 5, 4, 96)
--> nclu = 27, kwan[ka] = 4
Loop npass = 5: (ka,kb) = (100,105)
for(j ..) -> jma=30, jtel(.,z) = (2, 4) --> splitting: ka=100, ner[ka]=7 => (nzf, jtel2, jres, km) = (1, 4, 2, 104)
--> nclu = 28, kwan[ka] = 2
Loop npass = 5: (ka,kb) = (106,117)
for(j ..) -> jma=16, jtel(.,z) = (7, 5) --> splitting: ka=106, ner[ka]=8 => (nzf, jtel2, jres, km) = (1, 5, 7, 111)
--> nclu = 29, kwan[ka] = 7
Loop npass = 5: (ka,kb) = (118,136)
for(j ..) -> jma=25, jtel(.,z) = (8, 11) --> splitting: ka=118, ner[ka]=9 => (nzf, jtel2, jres, km) = (1, 11, 8, 129)
--> nclu = 30, kwan[ka] = 8
L500; found kwan[1] = 5 >= 2 ==> Loop again
Loop npass = 6: (ka,kb) = (1,5)
for(j ..) -> jma=27, jtel(.,z) = (3, 2) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 2, 3, 3)
--> nclu = 31, kwan[ka] = 3
Loop npass = 6: (ka,kb) = (6,11)
for(j ..) -> jma=3, jtel(.,z) = (5, 1) --> splitting: ka=6, ner[ka]=72 => (nzf, jtel2, jres, km) = (0, 5, 1, 11)
--> nclu = 32, kwan[ka] = 1
Loop npass = 6: (ka,kb) = (12,16)
for(j ..) -> jma=24, jtel(.,z) = (4, 1) --> splitting: ka=12, ner[ka]=19 => (nzf, jtel2, jres, km) = (0, 4, 1, 16)
--> nclu = 33, kwan[ka] = 1
Loop npass = 6: (ka,kb) = (17,20)
for(j ..) -> jma=3, jtel(.,z) = (2, 2) --> splitting: ka=17, ner[ka]=55 => (nzf, jtel2, jres, km) = (0, 2, 2, 19)
--> nclu = 34, kwan[ka] = 2
Loop npass = 6: (ka,kb) = (21,26)
for(j ..) -> jma=1, jtel(.,z) = (3, 3) --> splitting: ka=21, ner[ka]=31 => (nzf, jtel2, jres, km) = (1, 3, 3, 24)
--> nclu = 35, kwan[ka] = 3
Loop npass = 6: (ka,kb) = (27,28)
for(j ..) -> jma=2, jtel(.,z) = (1, 1) --> splitting: ka=27, ner[ka]=105 => (nzf, jtel2, jres, km) = (0, 1, 1, 28)
--> nclu = 36, kwan[ka] = 1
Loop npass = 6: (ka,kb) = (30,33)
for(j ..) -> jma=3, jtel(.,z) = (2, 2) --> splitting: ka=30, ner[ka]=70 => (nzf, jtel2, jres, km) = (1, 2, 2, 32)
--> nclu = 37, kwan[ka] = 2
Loop npass = 6: (ka,kb) = (34,35)
for(j ..) -> jma=2, jtel(.,z) = (1, 1) --> splitting: ka=34, ner[ka]=14 => (nzf, jtel2, jres, km) = (1, 1, 1, 35)
--> nclu = 38, kwan[ka] = 1
Loop npass = 6: (ka,kb) = (36,39)
for(j ..) -> jma=8, jtel(.,z) = (3, 1) --> splitting: ka=36, ner[ka]=20 => (nzf, jtel2, jres, km) = (0, 3, 1, 39)
--> nclu = 39, kwan[ka] = 1
Loop npass = 6: (ka,kb) = (44,51)
for(j ..) -> jma=5, jtel(.,z) = (3, 5) --> splitting: ka=44, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 5, 3, 49)
--> nclu = 40, kwan[ka] = 3
Loop npass = 6: (ka,kb) = (52,56)
for(j ..) -> jma=31, jtel(.,z) = (2, 3) --> splitting: ka=52, ner[ka]=21 => (nzf, jtel2, jres, km) = (0, 2, 3, 54)
--> nclu = 41, kwan[ka] = 3
Loop npass = 6: (ka,kb) = (57,61)
for(j ..) -> jma=9, jtel(.,z) = (3, 2) --> splitting: ka=57, ner[ka]=10 => (nzf, jtel2, jres, km) = (1, 2, 3, 59)
--> nclu = 42, kwan[ka] = 3
Loop npass = 6: (ka,kb) = (62,64)
for(j ..) -> jma=1, jtel(.,z) = (2, 1) --> splitting: ka=62, ner[ka]=62 => (nzf, jtel2, jres, km) = (0, 2, 1, 64)
--> nclu = 43, kwan[ka] = 1
Loop npass = 6: (ka,kb) = (65,71)
for(j ..) -> jma=1, jtel(.,z) = (4, 3) --> splitting: ka=65, ner[ka]=5 => (nzf, jtel2, jres, km) = (0, 4, 3, 69)
--> nclu = 44, kwan[ka] = 3
Loop npass = 6: (ka,kb) = (72,76)
for(j ..) -> jma=3, jtel(.,z) = (1, 4) --> splitting: ka=72, ner[ka]=26 => (nzf, jtel2, jres, km) = (1, 4, 1, 76)
--> nclu = 45, kwan[ka] = 1
Loop npass = 6: (ka,kb) = (77,83)
for(j ..) -> jma=3, jtel(.,z) = (4, 3) --> splitting: ka=77, ner[ka]=42 => (nzf, jtel2, jres, km) = (1, 3, 4, 80)
--> nclu = 46, kwan[ka] = 4
Loop npass = 6: (ka,kb) = (84,90)
for(j ..) -> jma=26, jtel(.,z) = (3, 4) --> splitting: ka=84, ner[ka]=49 => (nzf, jtel2, jres, km) = (1, 4, 3, 88)
--> nclu = 47, kwan[ka] = 3
Loop npass = 6: (ka,kb) = (91,95)
for(j ..) -> jma=21, jtel(.,z) = (2, 3) --> splitting: ka=91, ner[ka]=6 => (nzf, jtel2, jres, km) = (1, 3, 2, 94)
--> nclu = 48, kwan[ka] = 2
Loop npass = 6: (ka,kb) = (96,99)
for(j ..) -> jma=14, jtel(.,z) = (1, 3) --> splitting: ka=96, ner[ka]=22 => (nzf, jtel2, jres, km) = (1, 3, 1, 99)
--> nclu = 49, kwan[ka] = 1
Loop npass = 6: (ka,kb) = (100,103)
for(j ..) -> jma=10, jtel(.,z) = (2, 2) --> splitting: ka=100, ner[ka]=7 => (nzf, jtel2, jres, km) = (1, 2, 2, 102)
--> nclu = 50, kwan[ka] = 2
Loop npass = 6: (ka,kb) = (104,105)
for(j ..) -> jma=6, jtel(.,z) = (1, 1) --> splitting: ka=104, ner[ka]=64 => (nzf, jtel2, jres, km) = (0, 1, 1, 105)
--> nclu = 51, kwan[ka] = 1
Loop npass = 6: (ka,kb) = (106,110)
for(j ..) -> jma=8, jtel(.,z) = (2, 3) --> splitting: ka=106, ner[ka]=8 => (nzf, jtel2, jres, km) = (1, 3, 2, 109)
--> nclu = 52, kwan[ka] = 2
Loop npass = 6: (ka,kb) = (111,117)
for(j ..) -> jma=6, jtel(.,z) = (4, 3) --> splitting: ka=111, ner[ka]=43 => (nzf, jtel2, jres, km) = (0, 4, 3, 115)
--> nclu = 53, kwan[ka] = 3
Loop npass = 6: (ka,kb) = (118,128)
for(j ..) -> jma=8, jtel(.,z) = (5, 6) --> splitting: ka=118, ner[ka]=9 => (nzf, jtel2, jres, km) = (0, 5, 6, 123)
--> nclu = 54, kwan[ka] = 6
Loop npass = 6: (ka,kb) = (129,136)
for(j ..) -> jma=28, jtel(.,z) = (3, 5) --> splitting: ka=129, ner[ka]=11 => (nzf, jtel2, jres, km) = (0, 3, 5, 132)
--> nclu = 55, kwan[ka] = 5
L500; found kwan[1] = 2 >= 2 ==> Loop again
Loop npass = 7: (ka,kb) = (1,2)
for(j ..) -> jma=28, jtel(.,z) = (3, 5) --> _NO_ splitting
--> nclu = 55, kwan[ka] = -2
Loop npass = 7: (ka,kb) = (3,5)
for(j ..) -> jma=1, jtel(.,z) = (1, 2) --> splitting: ka=3, ner[ka]=30 => (nzf, jtel2, jres, km) = (1, 2, 1, 5)
--> nclu = 56, kwan[ka] = 1
Loop npass = 7: (ka,kb) = (6,10)
for(j ..) -> jma=27, jtel(.,z) = (4, 1) --> splitting: ka=6, ner[ka]=72 => (nzf, jtel2, jres, km) = (0, 4, 1, 10)
--> nclu = 57, kwan[ka] = 1
Loop npass = 7: (ka,kb) = (12,15)
for(j ..) -> jma=5, jtel(.,z) = (3, 1) --> splitting: ka=12, ner[ka]=19 => (nzf, jtel2, jres, km) = (1, 1, 3, 13)
--> nclu = 58, kwan[ka] = 3
Loop npass = 7: (ka,kb) = (17,18)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> splitting: ka=17, ner[ka]=55 => (nzf, jtel2, jres, km) = (1, 1, 1, 18)
--> nclu = 59, kwan[ka] = 1
Loop npass = 7: (ka,kb) = (19,20)
for(j ..) -> jma=4, jtel(.,z) = (1, 1) --> splitting: ka=19, ner[ka]=112 => (nzf, jtel2, jres, km) = (0, 1, 1, 20)
--> nclu = 60, kwan[ka] = 1
Loop npass = 7: (ka,kb) = (21,23)
for(j ..) -> jma=8, jtel(.,z) = (2, 1) --> splitting: ka=21, ner[ka]=31 => (nzf, jtel2, jres, km) = (0, 2, 1, 23)
--> nclu = 61, kwan[ka] = 1
Loop npass = 7: (ka,kb) = (24,26)
for(j ..) -> jma=2, jtel(.,z) = (2, 1) --> splitting: ka=24, ner[ka]=93 => (nzf, jtel2, jres, km) = (0, 2, 1, 26)
--> nclu = 62, kwan[ka] = 1
Loop npass = 7: (ka,kb) = (30,31)
for(j ..) -> jma=8, jtel(.,z) = (1, 1) --> splitting: ka=30, ner[ka]=70 => (nzf, jtel2, jres, km) = (0, 1, 1, 31)
--> nclu = 63, kwan[ka] = 1
Loop npass = 7: (ka,kb) = (32,33)
for(j ..) -> jma=8, jtel(.,z) = (1, 1) --> splitting: ka=32, ner[ka]=103 => (nzf, jtel2, jres, km) = (0, 1, 1, 33)
--> nclu = 64, kwan[ka] = 1
Loop npass = 7: (ka,kb) = (36,38)
for(j ..) -> jma=8, jtel(.,z) = (1, 1) --> _NO_ splitting
--> nclu = 64, kwan[ka] = -3
Loop npass = 7: (ka,kb) = (44,48)
for(j ..) -> jma=15, jtel(.,z) = (3, 2) --> splitting: ka=44, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 2, 3, 46)
--> nclu = 65, kwan[ka] = 3
Loop npass = 7: (ka,kb) = (49,51)
for(j ..) -> jma=2, jtel(.,z) = (2, 1) --> splitting: ka=49, ner[ka]=35 => (nzf, jtel2, jres, km) = (0, 2, 1, 51)
--> nclu = 66, kwan[ka] = 1
Loop npass = 7: (ka,kb) = (52,53)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> splitting: ka=52, ner[ka]=21 => (nzf, jtel2, jres, km) = (0, 1, 1, 53)
--> nclu = 67, kwan[ka] = 1
Loop npass = 7: (ka,kb) = (54,56)
for(j ..) -> jma=1, jtel(.,z) = (2, 1) --> splitting: ka=54, ner[ka]=71 => (nzf, jtel2, jres, km) = (1, 1, 2, 55)
--> nclu = 68, kwan[ka] = 2
Loop npass = 7: (ka,kb) = (57,58)
for(j ..) -> jma=1, jtel(.,z) = (1, 1) --> splitting: ka=57, ner[ka]=10 => (nzf, jtel2, jres, km) = (0, 1, 1, 58)
--> nclu = 69, kwan[ka] = 1
Loop npass = 7: (ka,kb) = (59,61)
for(j ..) -> jma=15, jtel(.,z) = (2, 1) --> splitting: ka=59, ner[ka]=15 => (nzf, jtel2, jres, km) = (0, 2, 1, 61)
--> nclu = 70, kwan[ka] = 1
Loop npass = 7: (ka,kb) = (62,63)
for(j ..) -> jma=4, jtel(.,z) = (1, 1) --> splitting: ka=62, ner[ka]=62 => (nzf, jtel2, jres, km) = (0, 1, 1, 63)
--> nclu = 71, kwan[ka] = 1
Loop npass = 7: (ka,kb) = (65,68)
for(j ..) -> jma=2, jtel(.,z) = (1, 3) --> splitting: ka=65, ner[ka]=5 => (nzf, jtel2, jres, km) = (1, 3, 1, 68)
--> nclu = 72, kwan[ka] = 1
Loop npass = 7: (ka,kb) = (69,71)
for(j ..) -> jma=2, jtel(.,z) = (2, 1) --> splitting: ka=69, ner[ka]=53 => (nzf, jtel2, jres, km) = (0, 2, 1, 71)
--> nclu = 73, kwan[ka] = 1
Loop npass = 7: (ka,kb) = (72,75)
for(j ..) -> jma=4, jtel(.,z) = (3, 1) --> splitting: ka=72, ner[ka]=26 => (nzf, jtel2, jres, km) = (1, 1, 3, 73)
--> nclu = 74, kwan[ka] = 3
Loop npass = 7: (ka,kb) = (77,79)
for(j ..) -> jma=2, jtel(.,z) = (1, 2) --> splitting: ka=77, ner[ka]=42 => (nzf, jtel2, jres, km) = (0, 1, 2, 78)
--> nclu = 75, kwan[ka] = 2
Loop npass = 7: (ka,kb) = (80,83)
for(j ..) -> jma=1, jtel(.,z) = (2, 2) --> splitting: ka=80, ner[ka]=107 => (nzf, jtel2, jres, km) = (0, 2, 2, 82)
--> nclu = 76, kwan[ka] = 2
Loop npass = 7: (ka,kb) = (84,87)
for(j ..) -> jma=6, jtel(.,z) = (1, 3) --> splitting: ka=84, ner[ka]=49 => (nzf, jtel2, jres, km) = (1, 3, 1, 87)
--> nclu = 77, kwan[ka] = 1
Loop npass = 7: (ka,kb) = (88,90)
for(j ..) -> jma=1, jtel(.,z) = (1, 2) --> splitting: ka=88, ner[ka]=92 => (nzf, jtel2, jres, km) = (0, 1, 2, 89)
--> nclu = 78, kwan[ka] = 2
Loop npass = 7: (ka,kb) = (91,93)
for(j ..) -> jma=2, jtel(.,z) = (2, 1) --> splitting: ka=91, ner[ka]=6 => (nzf, jtel2, jres, km) = (1, 1, 2, 92)
--> nclu = 79, kwan[ka] = 2
Loop npass = 7: (ka,kb) = (94,95)
for(j ..) -> jma=1, jtel(.,z) = (1, 1) --> splitting: ka=94, ner[ka]=75 => (nzf, jtel2, jres, km) = (1, 1, 1, 95)
--> nclu = 80, kwan[ka] = 1
Loop npass = 7: (ka,kb) = (96,98)
for(j ..) -> jma=2, jtel(.,z) = (1, 2) --> splitting: ka=96, ner[ka]=22 => (nzf, jtel2, jres, km) = (1, 2, 1, 98)
--> nclu = 81, kwan[ka] = 1
Loop npass = 7: (ka,kb) = (100,101)
for(j ..) -> jma=3, jtel(.,z) = (1, 1) --> splitting: ka=100, ner[ka]=7 => (nzf, jtel2, jres, km) = (0, 1, 1, 101)
--> nclu = 82, kwan[ka] = 1
Loop npass = 7: (ka,kb) = (102,103)
for(j ..) -> jma=3, jtel(.,z) = (1, 1) --> splitting: ka=102, ner[ka]=65 => (nzf, jtel2, jres, km) = (0, 1, 1, 103)
--> nclu = 83, kwan[ka] = 1
Loop npass = 7: (ka,kb) = (106,108)
for(j ..) -> jma=14, jtel(.,z) = (1, 2) --> splitting: ka=106, ner[ka]=8 => (nzf, jtel2, jres, km) = (1, 2, 1, 108)
--> nclu = 84, kwan[ka] = 1
Loop npass = 7: (ka,kb) = (109,110)
for(j ..) -> jma=2, jtel(.,z) = (1, 1) --> splitting: ka=109, ner[ka]=58 => (nzf, jtel2, jres, km) = (1, 1, 1, 110)
--> nclu = 85, kwan[ka] = 1
Loop npass = 7: (ka,kb) = (111,114)
for(j ..) -> jma=2, jtel(.,z) = (2, 2) --> splitting: ka=111, ner[ka]=43 => (nzf, jtel2, jres, km) = (1, 2, 2, 113)
--> nclu = 86, kwan[ka] = 2
Loop npass = 7: (ka,kb) = (115,117)
for(j ..) -> jma=2, jtel(.,z) = (2, 1) --> splitting: ka=115, ner[ka]=123 => (nzf, jtel2, jres, km) = (0, 2, 1, 117)
--> nclu = 87, kwan[ka] = 1
Loop npass = 7: (ka,kb) = (118,122)
for(j ..) -> jma=1, jtel(.,z) = (2, 3) --> splitting: ka=118, ner[ka]=9 => (nzf, jtel2, jres, km) = (0, 2, 3, 120)
--> nclu = 88, kwan[ka] = 3
Loop npass = 7: (ka,kb) = (123,128)
for(j ..) -> jma=28, jtel(.,z) = (2, 4) --> splitting: ka=123, ner[ka]=18 => (nzf, jtel2, jres, km) = (1, 4, 2, 127)
--> nclu = 89, kwan[ka] = 2
Loop npass = 7: (ka,kb) = (129,131)
for(j ..) -> jma=4, jtel(.,z) = (1, 2) --> splitting: ka=129, ner[ka]=11 => (nzf, jtel2, jres, km) = (1, 2, 1, 131)
--> nclu = 90, kwan[ka] = 1
Loop npass = 7: (ka,kb) = (132,136)
for(j ..) -> jma=8, jtel(.,z) = (3, 2) --> splitting: ka=132, ner[ka]=12 => (nzf, jtel2, jres, km) = (0, 3, 2, 135)
--> nclu = 91, kwan[ka] = 2
L500; found kwan[3] = 2 >= 2 ==> Loop again
Loop npass = 8: (ka,kb) = (3,4)
for(j ..) -> jma=3, jtel(.,z) = (1, 1) --> splitting: ka=3, ner[ka]=30 => (nzf, jtel2, jres, km) = (0, 1, 1, 4)
--> nclu = 92, kwan[ka] = 1
Loop npass = 8: (ka,kb) = (6,9)
for(j ..) -> jma=1, jtel(.,z) = (3, 1) --> splitting: ka=6, ner[ka]=72 => (nzf, jtel2, jres, km) = (0, 3, 1, 9)
--> nclu = 93, kwan[ka] = 1
Loop npass = 8: (ka,kb) = (13,15)
for(j ..) -> jma=1, jtel(.,z) = (2, 1) --> splitting: ka=13, ner[ka]=36 => (nzf, jtel2, jres, km) = (1, 1, 2, 14)
--> nclu = 94, kwan[ka] = 2
Loop npass = 8: (ka,kb) = (21,22)
for(j ..) -> jma=1, jtel(.,z) = (2, 1) --> _NO_ splitting
--> nclu = 94, kwan[ka] = -2
Loop npass = 8: (ka,kb) = (24,25)
for(j ..) -> jma=13, jtel(.,z) = (1, 1) --> splitting: ka=24, ner[ka]=93 => (nzf, jtel2, jres, km) = (1, 1, 1, 25)
--> nclu = 95, kwan[ka] = 1
Loop npass = 8: (ka,kb) = (44,45)
for(j ..) -> jma=7, jtel(.,z) = (1, 1) --> splitting: ka=44, ner[ka]=3 => (nzf, jtel2, jres, km) = (0, 1, 1, 45)
--> nclu = 96, kwan[ka] = 1
Loop npass = 8: (ka,kb) = (46,48)
for(j ..) -> jma=1, jtel(.,z) = (2, 1) --> splitting: ka=46, ner[ka]=83 => (nzf, jtel2, jres, km) = (0, 2, 1, 48)
--> nclu = 97, kwan[ka] = 1
Loop npass = 8: (ka,kb) = (49,50)
for(j ..) -> jma=15, jtel(.,z) = (1, 1) --> splitting: ka=49, ner[ka]=35 => (nzf, jtel2, jres, km) = (0, 1, 1, 50)
--> nclu = 98, kwan[ka] = 1
Loop npass = 8: (ka,kb) = (55,56)
for(j ..) -> jma=8, jtel(.,z) = (1, 1) --> splitting: ka=55, ner[ka]=108 => (nzf, jtel2, jres, km) = (1, 1, 1, 56)
--> nclu = 99, kwan[ka] = 1
Loop npass = 8: (ka,kb) = (59,60)
for(j ..) -> jma=1, jtel(.,z) = (1, 1) --> splitting: ka=59, ner[ka]=15 => (nzf, jtel2, jres, km) = (1, 1, 1, 60)
--> nclu = 100, kwan[ka] = 1
Loop npass = 8: (ka,kb) = (65,67)
for(j ..) -> jma=26, jtel(.,z) = (2, 1) --> splitting: ka=65, ner[ka]=5 => (nzf, jtel2, jres, km) = (0, 2, 1, 67)
--> nclu = 101, kwan[ka] = 1
Loop npass = 8: (ka,kb) = (69,70)
for(j ..) -> jma=7, jtel(.,z) = (1, 1) --> splitting: ka=69, ner[ka]=53 => (nzf, jtel2, jres, km) = (0, 1, 1, 70)
--> nclu = 102, kwan[ka] = 1
Loop npass = 8: (ka,kb) = (73,75)
for(j ..) -> jma=1, jtel(.,z) = (2, 1) --> splitting: ka=73, ner[ka]=37 => (nzf, jtel2, jres, km) = (0, 2, 1, 75)
--> nclu = 103, kwan[ka] = 1
Loop npass = 8: (ka,kb) = (78,79)
for(j ..) -> jma=1, jtel(.,z) = (1, 1) --> splitting: ka=78, ner[ka]=67 => (nzf, jtel2, jres, km) = (0, 1, 1, 79)
--> nclu = 104, kwan[ka] = 1
Loop npass = 8: (ka,kb) = (80,81)
for(j ..) -> jma=4, jtel(.,z) = (1, 1) --> splitting: ka=80, ner[ka]=107 => (nzf, jtel2, jres, km) = (1, 1, 1, 81)
--> nclu = 105, kwan[ka] = 1
Loop npass = 8: (ka,kb) = (82,83)
for(j ..) -> jma=2, jtel(.,z) = (1, 1) --> splitting: ka=82, ner[ka]=120 => (nzf, jtel2, jres, km) = (0, 1, 1, 83)
--> nclu = 106, kwan[ka] = 1
Loop npass = 8: (ka,kb) = (84,86)
for(j ..) -> jma=1, jtel(.,z) = (1, 2) --> splitting: ka=84, ner[ka]=49 => (nzf, jtel2, jres, km) = (1, 2, 1, 86)
--> nclu = 107, kwan[ka] = 1
Loop npass = 8: (ka,kb) = (89,90)
for(j ..) -> jma=2, jtel(.,z) = (1, 1) --> splitting: ka=89, ner[ka]=135 => (nzf, jtel2, jres, km) = (0, 1, 1, 90)
--> nclu = 108, kwan[ka] = 1
Loop npass = 8: (ka,kb) = (92,93)
for(j ..) -> jma=4, jtel(.,z) = (1, 1) --> splitting: ka=92, ner[ka]=16 => (nzf, jtel2, jres, km) = (0, 1, 1, 93)
--> nclu = 109, kwan[ka] = 1
Loop npass = 8: (ka,kb) = (96,97)
for(j ..) -> jma=1, jtel(.,z) = (1, 1) --> splitting: ka=96, ner[ka]=22 => (nzf, jtel2, jres, km) = (0, 1, 1, 97)
--> nclu = 110, kwan[ka] = 1
Loop npass = 8: (ka,kb) = (106,107)
for(j ..) -> jma=2, jtel(.,z) = (1, 1) --> splitting: ka=106, ner[ka]=8 => (nzf, jtel2, jres, km) = (0, 1, 1, 107)
--> nclu = 111, kwan[ka] = 1
Loop npass = 8: (ka,kb) = (111,112)
for(j ..) -> jma=3, jtel(.,z) = (1, 1) --> splitting: ka=111, ner[ka]=43 => (nzf, jtel2, jres, km) = (0, 1, 1, 112)
--> nclu = 112, kwan[ka] = 1
Loop npass = 8: (ka,kb) = (113,114)
for(j ..) -> jma=9, jtel(.,z) = (1, 1) --> splitting: ka=113, ner[ka]=76 => (nzf, jtel2, jres, km) = (0, 1, 1, 114)
--> nclu = 113, kwan[ka] = 1
Loop npass = 8: (ka,kb) = (115,116)
for(j ..) -> jma=1, jtel(.,z) = (1, 1) --> splitting: ka=115, ner[ka]=123 => (nzf, jtel2, jres, km) = (0, 1, 1, 116)
--> nclu = 114, kwan[ka] = 1
Loop npass = 8: (ka,kb) = (118,119)
for(j ..) -> jma=2, jtel(.,z) = (1, 1) --> splitting: ka=118, ner[ka]=9 => (nzf, jtel2, jres, km) = (0, 1, 1, 119)
--> nclu = 115, kwan[ka] = 1
Loop npass = 8: (ka,kb) = (120,122)
for(j ..) -> jma=9, jtel(.,z) = (2, 1) --> splitting: ka=120, ner[ka]=17 => (nzf, jtel2, jres, km) = (0, 2, 1, 122)
--> nclu = 116, kwan[ka] = 1
Loop npass = 8: (ka,kb) = (123,126)
for(j ..) -> jma=2, jtel(.,z) = (1, 3) --> splitting: ka=123, ner[ka]=18 => (nzf, jtel2, jres, km) = (1, 3, 1, 126)
--> nclu = 117, kwan[ka] = 1
Loop npass = 8: (ka,kb) = (127,128)
for(j ..) -> jma=1, jtel(.,z) = (1, 1) --> splitting: ka=127, ner[ka]=25 => (nzf, jtel2, jres, km) = (1, 1, 1, 128)
--> nclu = 118, kwan[ka] = 1
Loop npass = 8: (ka,kb) = (129,130)
for(j ..) -> jma=1, jtel(.,z) = (1, 1) --> splitting: ka=129, ner[ka]=11 => (nzf, jtel2, jres, km) = (1, 1, 1, 130)
--> nclu = 119, kwan[ka] = 1
Loop npass = 8: (ka,kb) = (132,134)
for(j ..) -> jma=2, jtel(.,z) = (1, 2) --> splitting: ka=132, ner[ka]=12 => (nzf, jtel2, jres, km) = (1, 2, 1, 134)
--> nclu = 120, kwan[ka] = 1
Loop npass = 8: (ka,kb) = (135,136)
for(j ..) -> jma=7, jtel(.,z) = (1, 1) --> splitting: ka=135, ner[ka]=60 => (nzf, jtel2, jres, km) = (0, 1, 1, 136)
--> nclu = 121, kwan[ka] = 1
L500; found kwan[6] = 3 >= 2 ==> Loop again
Loop npass = 9: (ka,kb) = (6,8)
for(j ..) -> jma=8, jtel(.,z) = (2, 1) --> splitting: ka=6, ner[ka]=72 => (nzf, jtel2, jres, km) = (0, 2, 1, 8)
--> nclu = 122, kwan[ka] = 1
Loop npass = 9: (ka,kb) = (14,15)
for(j ..) -> jma=8, jtel(.,z) = (2, 1) --> _NO_ splitting
--> nclu = 122, kwan[ka] = -2
Loop npass = 9: (ka,kb) = (46,47)
for(j ..) -> jma=2, jtel(.,z) = (1, 1) --> splitting: ka=46, ner[ka]=83 => (nzf, jtel2, jres, km) = (0, 1, 1, 47)
--> nclu = 123, kwan[ka] = 1
Loop npass = 9: (ka,kb) = (65,66)
for(j ..) -> jma=3, jtel(.,z) = (1, 1) --> splitting: ka=65, ner[ka]=5 => (nzf, jtel2, jres, km) = (0, 1, 1, 66)
--> nclu = 124, kwan[ka] = 1
Loop npass = 9: (ka,kb) = (73,74)
for(j ..) -> jma=9, jtel(.,z) = (1, 1) --> splitting: ka=73, ner[ka]=37 => (nzf, jtel2, jres, km) = (1, 1, 1, 74)
--> nclu = 125, kwan[ka] = 1
Loop npass = 9: (ka,kb) = (84,85)
for(j ..) -> jma=2, jtel(.,z) = (1, 1) --> splitting: ka=84, ner[ka]=49 => (nzf, jtel2, jres, km) = (0, 1, 1, 85)
--> nclu = 126, kwan[ka] = 1
Loop npass = 9: (ka,kb) = (120,121)
for(j ..) -> jma=4, jtel(.,z) = (1, 1) --> splitting: ka=120, ner[ka]=17 => (nzf, jtel2, jres, km) = (1, 1, 1, 121)
--> nclu = 127, kwan[ka] = 1
Loop npass = 9: (ka,kb) = (123,125)
for(j ..) -> jma=1, jtel(.,z) = (2, 1) --> splitting: ka=123, ner[ka]=18 => (nzf, jtel2, jres, km) = (1, 1, 2, 124)
--> nclu = 128, kwan[ka] = 2
Loop npass = 9: (ka,kb) = (132,133)
for(j ..) -> jma=3, jtel(.,z) = (1, 1) --> splitting: ka=132, ner[ka]=12 => (nzf, jtel2, jres, km) = (1, 1, 1, 133)
--> nclu = 129, kwan[ka] = 1
L500; found kwan[6] = 2 >= 2 ==> Loop again
Loop npass = 10: (ka,kb) = (6,7)
for(j ..) -> jma=13, jtel(.,z) = (1, 1) --> splitting: ka=6, ner[ka]=72 => (nzf, jtel2, jres, km) = (1, 1, 1, 7)
--> nclu = 130, kwan[ka] = 1
Loop npass = 10: (ka,kb) = (124,125)
for(j ..) -> jma=3, jtel(.,z) = (1, 1) --> splitting: ka=124, ner[ka]=24 => (nzf, jtel2, jres, km) = (0, 1, 1, 125)
--> nclu = 131, kwan[ka] = 1
mona(x, ..) fit; x of dimension 136x31
Because of NA's, revised data:
pdias longindex durflow height begflow mycor vegaer vegsout autopoll
Aceca 0 1 1 0 1 0 1 1 1
Aceps 0 1 1 0 1 0 1 1 1
Agrca 1 0 1 1 0 0 1 0 1
Agrst 1 0 1 1 0 0 0 1 1
Ajure 1 0 1 1 1 0 0 1 0
Allpe 0 0 1 0 1 1 1 1 0
Anaar 1 0 1 1 0 0 1 1 0
Anene 0 1 1 1 1 0 1 0 0
Angsy 1 1 1 1 0 0 1 1 1
Antod 1 1 1 1 1 0 1 1 0
Arrel 0 1 0 0 0 0 1 0 0
Artvu 1 0 0 0 0 0 1 1 1
Aruma 0 1 1 1 1 0 1 0 1
Betsp 1 0 1 0 1 0 1 1 1
Brasy 0 1 1 1 0 0 1 0 1
Brost 0 1 1 1 1 1 1 1 0
Brydi 0 1 1 0 0 1 1 1 1
Calse 0 0 0 0 0 0 1 0 0
Calvu 1 0 1 1 0 0 1 1 1
Carbe 0 1 1 0 1 0 1 1 1
Cardi 1 0 1 1 1 1 1 1 1
Cheal 1 0 0 0 0 0 1 1 1
Chema 1 0 0 1 1 0 1 1 0
Cirar 1 0 1 1 0 0 1 0 1
Cirlu 0 1 1 1 0 0 1 0 0
Cirvu 0 1 0 0 0 0 1 1 1
Conmj 0 0 1 1 1 0 1 0 1
Corav 0 1 0 0 1 0 1 1 1
Cordi 0 0 0 1 0 1 1 1 0
Corsa 0 1 1 0 1 0 1 1 1
Crala 0 1 1 0 1 0 1 1 0
Cramo 0 1 1 0 1 0 1 1 0
Cucba 0 1 1 1 0 1 1 1 1
Cytsc 0 0 1 0 1 0 1 1 1
Dacgl 1 1 1 1 1 0 1 1 0
Dapla 0 0 1 1 1 0 1 1 1
Dauca 1 0 0 1 0 0 1 1 0
Desfl 1 1 1 1 0 0 1 1 1
Diaar 1 1 1 1 0 1 1 1 0
Digpu 1 0 0 1 0 0 1 1 1
Elyca 0 0 1 1 0 0 1 1 0
Epipa 0 1 0 1 0 0 0 1 0
Eupam 0 0 1 1 1 1 1 0 1
Evoeu 1 1 1 0 1 0 1 1 1
Fagsy 0 1 1 0 1 0 1 1 1
Fraal 0 1 0 0 1 0 1 1 1
Fraan 0 1 1 0 1 0 1 1 1
Frasp 0 1 1 0 1 0 1 1 1
Frave 0 1 1 1 1 0 0 1 0
Galap 0 1 1 0 0 0 1 1 0
Galmo 1 1 0 1 1 1 1 0 0
Gerro 0 1 0 1 1 0 1 1 0
Geuur 0 1 0 1 1 0 1 1 0
Glehe 1 1 1 1 1 0 0 1 1
Hedhe 0 1 1 0 0 0 0 1 1
Holla 1 0 1 1 0 0 1 1 0
Holmo 1 1 1 1 0 0 1 0 1
Hyahi 0 0 1 1 1 1 1 1 1
Hyano 0 1 1 1 1 0 1 1 1
Hyppe 1 0 1 1 0 0 1 0 0
Ileaq 0 1 1 0 1 0 1 1 1
Junco 1 0 1 1 1 1 1 1 0
Junef 1 0 1 0 0 1 1 0 0
Lacse 1 0 0 1 0 1 1 1 0
Lapco 1 0 1 1 0 0 1 1 0
Launo 1 0 1 0 1 0 1 1 1
Leuvu 1 0 0 1 0 0 1 1 0
Ligvu 0 1 1 0 0 0 1 1 0
Linre 0 0 0 1 1 1 1 0 1
Lonpe 1 1 0 0 0 0 1 1 0
Luzmu 0 0 1 1 1 1 1 1 1
Malsy 1 0 1 0 1 0 1 1 1
Medlu 0 0 0 1 1 0 1 1 0
Melof 0 1 1 1 0 1 1 1 0
Melpr 0 1 1 1 1 1 1 1 0
Melun 0 1 1 1 1 1 1 0 1
Meran 0 0 0 1 1 1 1 1 1
Milef 1 1 1 1 1 0 1 1 0
Molca 1 0 1 1 0 0 1 1 1
Paprh 1 0 1 1 1 1 1 1 1
Plama 1 0 0 1 0 0 1 1 0
Poaan 1 0 0 1 1 0 1 1 0
Poane 1 1 1 1 0 0 1 1 1
Poapr 1 0 1 1 1 0 1 0 0
Poatr 1 0 1 1 0 0 0 1 1
Polav 0 0 0 1 0 0 1 1 0
Polin 0 1 1 1 0 1 1 0 1
Polmu 0 1 1 1 1 1 1 0 0
Poptr 1 1 1 0 1 0 1 0 1
Potre 1 1 0 1 0 0 0 1 1
Potst 1 0 0 1 1 0 0 1 0
Privu 1 0 1 1 1 0 1 1 1
Pruav 1 1 1 0 1 0 1 1 0
Pruce 1 0 1 0 1 0 1 0 1
Prula 1 0 1 0 1 0 1 1 1
Prusi 0 1 1 0 1 0 1 0 0
Pteaq 1 1 1 0 0 0 1 0 1
Pyrsp 1 0 1 0 1 0 1 1 1
Queil 1 0 1 0 1 0 1 0 1
Ranac 0 1 0 1 1 0 0 1 1
Ranre 0 0 1 1 1 0 0 1 0
Robps 1 0 1 0 1 0 1 0 1
Rosar 1 1 1 0 0 0 1 1 0
Rosca 1 1 1 0 1 0 1 1 0
Rubca 0 1 0 1 0 0 0 1 0
Rubfr 1 1 0 0 0 0 1 0 0
Rubpe 1 1 1 0 0 1 1 0 1
Rumac 1 0 1 1 1 1 1 0 1
Rumco 1 0 1 1 1 1 1 1 0
Rumcr 0 0 1 1 0 0 1 1 1
Rumsa 1 0 1 1 0 1 1 1 1
Rusac 0 1 0 1 1 0 1 0 1
Samni 0 0 1 0 0 0 1 1 0
Scrno 1 0 0 1 0 0 1 0 1
Soldu 0 0 0 1 0 0 1 0 1
Sonol 1 0 0 1 0 0 1 1 0
Sordo 1 0 1 0 1 0 1 1 0
Sorto 0 0 1 0 1 0 1 1 1
Stasy 1 1 1 1 0 0 1 0 0
Steho 0 1 1 1 1 1 0 1 0
Steme 1 0 0 1 1 1 1 1 0
Symsp 1 1 1 0 0 0 1 0 0
Tamco 1 1 1 0 1 0 1 0 1
Tarsp 1 0 0 1 1 0 1 1 1
Taxba 1 0 1 0 1 0 0 0 1
Teusc 1 0 1 1 0 0 0 0 0
Trire 0 0 0 1 0 0 0 1 1
Ulemi 0 1 0 0 0 0 1 1 1
Ulmsp 0 1 1 0 1 0 1 0 1
Urtdi 1 0 0 0 0 1 1 0 1
Verch 1 1 1 1 1 0 1 0 0
Vicsa 0 0 1 0 1 0 1 1 0
Vicse 0 1 0 1 1 0 1 0 0
Vinmi 0 0 1 1 1 1 0 1 1
Viohi 0 1 1 1 1 0 1 1 0
Viore 0 0 1 1 1 1 1 1 0
insects wind lign piq ros semiros leafy suman winan monocarp polycarp
Aceca 0 1 1 0 0 0 1 0 0 0 1
Aceps 0 1 1 0 0 0 1 0 0 0 1
Agrca 1 0 0 0 0 0 1 0 0 0 1
Agrst 1 0 0 0 0 0 1 0 0 0 1
Ajure 0 1 0 0 0 1 0 0 0 0 1
Allpe 0 1 0 0 0 1 0 1 0 1 0
Anaar 0 1 0 0 0 0 1 1 1 0 0
Anene 0 1 0 0 0 1 0 0 0 0 1
Angsy 0 1 0 0 0 1 0 0 0 1 1
Antod 1 0 0 0 0 0 1 0 0 0 1
Arrel 1 0 0 0 0 0 1 0 0 0 1
Artvu 1 0 0 0 0 0 1 0 0 0 1
Aruma 0 1 0 0 1 0 0 0 0 0 1
Betsp 1 0 1 0 0 0 1 0 0 0 1
Brasy 1 0 0 0 0 1 0 0 0 0 1
Brost 1 1 0 0 0 1 0 1 1 0 0
Brydi 0 1 0 0 0 0 1 0 0 0 1
Calse 0 1 0 0 0 0 1 0 0 0 1
Calvu 0 1 1 0 0 0 1 0 0 0 1
Carbe 1 0 1 0 0 0 1 0 0 0 1
Cardi 1 0 0 0 0 1 0 0 0 0 1
Cheal 1 0 0 0 0 0 1 1 0 0 0
Chema 0 1 0 0 0 1 0 0 0 0 1
Cirar 0 1 0 1 0 0 1 0 0 0 1
Cirlu 0 1 0 0 0 0 1 0 0 0 1
Cirvu 0 1 0 1 0 1 0 0 0 1 0
Conmj 0 1 0 0 0 1 0 0 0 0 1
Corav 1 0 1 0 0 0 1 0 0 0 1
Cordi 1 1 0 0 1 0 1 1 0 0 0
Corsa 0 1 1 0 0 0 1 0 0 0 1
Crala 0 1 1 1 0 0 1 0 0 0 1
Cramo 0 1 1 1 0 0 1 0 0 0 1
Cucba 0 1 0 0 0 0 1 0 0 0 1
Cytsc 0 1 1 0 0 0 1 0 0 0 1
Dacgl 1 0 0 0 0 1 0 0 0 0 1
Dapla 0 1 1 0 0 0 1 0 0 0 1
Dauca 0 1 0 0 0 1 0 0 0 1 0
Desfl 1 0 0 0 0 1 0 0 0 0 1
Diaar 1 1 0 0 0 1 0 1 0 1 0
Digpu 0 1 0 0 0 1 0 0 0 1 1
Elyca 1 0 0 0 0 0 1 0 0 0 1
Epipa 1 1 0 0 0 0 1 0 0 0 1
Eupam 0 1 0 0 0 0 1 0 0 0 1
Evoeu 0 1 1 0 0 0 1 0 0 0 1
Fagsy 1 0 1 0 0 0 1 0 0 0 1
Fraal 0 1 1 0 0 0 1 0 0 0 1
Fraan 1 0 1 0 0 0 1 0 0 0 1
Frasp 1 0 1 0 0 0 1 0 0 0 1
Frave 0 1 0 0 1 0 0 0 0 0 1
Galap 0 1 0 0 0 0 1 1 1 0 0
Galmo 0 1 0 0 0 0 1 1 0 0 0
Gerro 1 1 0 0 0 1 0 0 0 1 1
Geuur 1 1 0 0 0 1 0 0 0 0 1
Glehe 0 1 0 0 0 1 0 0 0 0 1
Hedhe 0 1 1 0 0 0 1 0 0 0 1
Holla 1 0 0 0 0 0 1 0 0 0 1
Holmo 1 0 0 0 0 0 1 0 0 0 1
Hyahi 0 1 0 0 1 0 0 0 0 0 1
Hyano 0 1 0 0 1 0 0 0 0 0 1
Hyppe 0 1 0 0 0 0 1 0 0 0 1
Ileaq 0 1 1 1 0 0 1 0 0 0 1
Junco 1 0 0 0 1 0 1 0 0 0 1
Junef 1 0 0 0 1 1 1 0 0 0 1
Lacse 1 1 0 1 0 1 0 1 0 1 0
Lapco 1 1 0 0 0 1 0 1 1 0 0
Launo 0 1 1 0 0 0 1 0 0 0 1
Leuvu 0 1 0 0 0 0 1 0 0 0 1
Ligvu 0 1 1 0 0 0 1 0 0 0 1
Linre 0 1 0 0 0 0 1 0 0 0 1
Lonpe 0 1 1 0 0 0 1 0 0 0 1
Luzmu 0 0 0 0 0 1 0 0 0 0 1
Malsy 0 1 1 0 0 0 1 0 0 0 1
Medlu 0 1 0 0 0 0 1 1 1 0 1
Melof 0 1 0 0 0 0 1 0 0 0 1
Melpr 0 1 0 0 0 0 1 1 0 0 0
Melun 1 0 0 0 0 0 1 0 0 0 1
Meran 1 0 0 0 1 0 1 1 1 0 0
Milef 1 0 0 0 0 0 1 0 0 0 1
Molca 1 0 0 0 0 1 0 0 0 0 1
Paprh 0 1 0 0 0 1 0 1 1 0 0
Plama 1 0 0 0 1 0 0 0 0 0 1
Poaan 1 1 0 0 0 1 0 1 1 0 1
Poane 1 0 0 0 0 1 0 0 0 0 1
Poapr 1 0 0 0 0 1 0 0 0 0 1
Poatr 1 0 0 0 0 1 0 0 0 0 1
Polav 0 1 0 0 0 0 1 1 0 0 0
Polin 1 1 0 0 1 0 0 0 0 0 1
Polmu 0 1 0 0 0 0 1 0 0 0 1
Poptr 1 0 1 0 0 0 1 0 0 0 1
Potre 0 1 0 0 0 0 1 0 0 0 1
Potst 0 1 0 0 0 1 0 0 0 0 1
Privu 0 1 0 0 1 0 0 0 0 0 1
Pruav 0 1 1 0 0 0 1 0 0 0 1
Pruce 0 1 1 0 0 0 1 0 0 0 1
Prula 0 1 1 0 0 0 1 0 0 0 1
Prusi 0 1 1 1 0 0 1 0 0 0 1
Pteaq 1 1 0 0 1 0 0 0 0 0 1
Pyrsp 0 1 1 1 0 0 1 0 0 0 1
Queil 1 0 1 1 0 0 1 0 0 0 1
Ranac 0 1 0 0 0 1 0 0 0 0 1
Ranre 0 1 0 0 0 1 0 0 0 0 1
Robps 0 1 1 1 0 0 1 0 0 0 1
Rosar 0 1 1 1 0 0 1 0 0 0 1
Rosca 0 1 1 1 0 0 1 0 0 0 1
Rubca 0 1 1 1 0 0 1 0 0 0 1
Rubfr 0 1 1 1 0 0 1 0 0 0 1
Rubpe 0 1 0 0 0 0 1 0 0 0 1
Rumac 1 0 0 0 0 1 0 0 0 0 1
Rumco 1 0 0 0 0 1 0 0 0 1 1
Rumcr 1 0 0 0 0 1 0 1 1 0 1
Rumsa 1 0 0 0 0 1 0 0 0 0 1
Rusac 0 1 1 1 0 0 1 0 0 0 1
Samni 1 1 1 0 0 0 1 0 0 0 1
Scrno 0 1 0 0 0 0 1 0 0 0 1
Soldu 0 1 1 0 0 0 1 0 0 0 1
Sonol 1 1 0 0 0 1 0 1 1 0 0
Sordo 0 1 1 0 0 0 1 0 0 0 1
Sorto 0 1 1 0 0 0 1 0 0 0 1
Stasy 0 1 0 0 0 0 1 0 0 0 1
Steho 0 1 0 0 0 0 1 0 0 0 1
Steme 0 1 0 0 0 0 1 1 1 0 0
Symsp 0 1 1 0 0 0 1 0 0 0 1
Tamco 0 1 0 0 0 0 1 0 0 0 1
Tarsp 0 1 0 0 1 0 0 0 0 0 1
Taxba 1 0 1 0 0 0 1 0 0 0 1
Teusc 0 1 0 0 0 0 1 0 0 0 1
Trire 0 1 0 0 1 0 0 0 0 0 1
Ulemi 0 1 1 1 0 0 1 0 0 0 1
Ulmsp 1 0 1 0 0 0 1 0 0 0 1
Urtdi 1 0 0 1 0 0 1 0 0 0 1
Verch 0 1 0 0 0 0 1 0 0 0 1
Vicsa 1 1 0 0 0 0 1 0 1 0 0
Vicse 0 1 0 0 0 0 1 0 0 0 1
Vinmi 0 1 0 0 0 0 1 0 0 0 1
Viohi 0 1 0 0 1 0 0 0 0 0 1
Viore 0 1 0 0 1 0 0 0 0 0 1
seasaes seashiv seasver everalw everparti elaio endozoo epizoo aquat
Aceca 1 0 0 0 0 0 0 0 0
Aceps 1 0 0 0 0 0 0 0 0
Agrca 0 0 0 1 0 0 0 0 0
Agrst 0 0 0 1 0 0 0 0 0
Ajure 0 0 0 1 0 1 0 0 0
Allpe 0 1 0 0 0 0 0 0 0
Anaar 0 0 0 0 1 0 0 0 0
Anene 0 0 1 0 0 0 0 1 0
Angsy 1 0 0 0 0 0 0 0 1
Antod 0 0 0 1 0 0 0 1 0
Arrel 0 0 0 0 1 0 0 1 0
Artvu 0 0 0 0 1 0 0 0 0
Aruma 0 0 1 0 0 0 1 0 0
Betsp 1 0 0 0 0 0 0 0 0
Brasy 0 0 0 1 0 0 0 1 0
Brost 0 1 0 0 0 0 0 1 0
Brydi 1 0 0 0 0 0 1 0 0
Calse 1 0 0 0 0 0 0 0 0
Calvu 0 0 0 1 0 0 0 0 0
Carbe 1 0 0 0 0 0 0 0 0
Cardi 0 0 0 1 0 0 0 0 0
Cheal 1 0 0 0 0 0 0 0 0
Chema 0 0 0 1 0 1 0 0 0
Cirar 0 0 0 0 0 0 0 0 0
Cirlu 1 0 0 0 0 0 0 1 0
Cirvu 0 0 0 1 0 0 0 0 0
Conmj 0 0 1 0 0 0 0 0 0
Corav 1 0 0 0 0 0 1 0 0
Cordi 1 0 0 0 0 0 1 1 0
Corsa 1 0 0 0 0 0 1 0 0
Crala 1 0 0 0 0 0 1 0 0
Cramo 1 0 0 0 0 0 1 0 0
Cucba 1 0 0 0 0 0 1 0 0
Cytsc 0 0 0 0 1 1 0 0 0
Dacgl 0 0 0 1 0 0 0 0 0
Dapla 0 0 0 1 0 0 1 0 0
Dauca 0 0 0 1 0 0 0 1 0
Desfl 0 0 0 1 0 0 0 1 0
Diaar 1 1 0 1 1 0 1 1 1
Digpu 0 0 0 1 0 0 0 0 0
Elyca 0 0 0 1 0 0 0 1 0
Epipa 0 0 0 1 0 0 0 0 0
Eupam 0 0 0 0 1 1 0 0 0
Evoeu 1 0 0 0 0 1 1 0 0
Fagsy 1 0 0 0 0 0 1 0 0
Fraal 1 0 0 0 0 0 1 0 0
Fraan 1 0 0 0 0 0 0 0 0
Frasp 1 0 0 0 0 0 0 0 0
Frave 0 0 0 1 0 0 1 1 0
Galap 0 1 0 0 0 0 0 1 0
Galmo 1 0 0 0 0 0 0 0 0
Gerro 0 0 0 1 0 0 0 1 0
Geuur 0 0 0 1 0 0 0 1 0
Glehe 0 0 0 1 0 0 0 0 0
Hedhe 0 0 0 1 0 0 1 0 0
Holla 0 0 0 0 1 0 0 0 0
Holmo 0 0 0 1 0 0 0 1 0
Hyahi 0 0 1 0 0 0 0 0 0
Hyano 0 0 1 0 0 0 0 0 0
Hyppe 0 0 0 0 1 0 0 0 0
Ileaq 0 0 0 1 0 0 1 0 0
Junco 0 0 0 1 0 0 0 1 0
Junef 0 0 0 1 0 0 0 1 0
Lacse 0 0 0 0 1 0 0 0 0
Lapco 0 0 0 0 1 0 0 0 0
Launo 0 0 0 1 0 0 1 0 0
Leuvu 0 0 0 1 0 0 0 0 0
Ligvu 0 0 0 0 1 0 1 0 0
Linre 1 0 0 0 0 1 1 1 0
Lonpe 0 0 0 0 1 0 1 0 0
Luzmu 0 0 0 1 0 1 0 0 0
Malsy 1 0 0 0 0 0 1 0 0
Medlu 0 0 0 1 0 0 0 0 0
Melof 1 0 0 0 0 0 0 0 0
Melpr 1 0 0 0 0 1 0 0 0
Melun 1 0 0 0 0 1 0 0 0
Meran 1 1 1 1 0 1 1 1 0
Milef 0 0 0 1 0 0 0 0 0
Molca 1 0 0 0 0 0 0 0 0
Paprh 1 0 0 0 0 0 0 0 0
Plama 0 0 0 0 1 0 0 1 0
Poaan 0 0 0 0 1 0 0 0 0
Poane 0 0 0 1 0 0 0 0 0
Poapr 0 0 0 1 0 0 0 0 0
Poatr 0 0 0 1 0 0 0 0 0
Polav 1 0 0 0 0 0 0 0 0
Polin 0 0 0 1 0 0 0 0 0
Polmu 0 0 1 0 0 0 1 0 0
Poptr 1 0 0 0 0 0 0 0 0
Potre 0 0 0 0 1 0 0 0 0
Potst 0 0 0 1 0 0 0 0 0
Privu 0 0 0 1 0 1 0 0 0
Pruav 1 0 0 0 0 0 1 0 0
Pruce 1 0 0 0 0 0 1 0 0
Prula 0 0 0 1 0 0 1 0 0
Prusi 1 0 0 0 0 0 1 0 0
Pteaq 1 0 0 0 0 0 0 0 0
Pyrsp 1 0 0 0 0 0 1 0 0
Queil 0 0 0 0 1 0 1 0 0
Ranac 0 0 0 1 0 0 0 1 0
Ranre 0 0 0 1 0 0 0 1 1
Robps 1 0 0 0 0 0 0 0 0
Rosar 0 0 0 0 1 0 1 0 0
Rosca 1 0 0 0 0 0 1 0 0
Rubca 1 0 0 0 0 0 1 0 0
Rubfr 0 0 0 0 1 0 1 0 0
Rubpe 0 0 0 1 0 0 1 0 0
Rumac 0 0 0 1 0 0 0 0 0
Rumco 0 0 0 1 0 0 0 0 1
Rumcr 0 0 0 1 0 0 0 0 0
Rumsa 0 0 0 1 0 0 0 0 0
Rusac 0 0 0 1 0 0 1 0 0
Samni 1 0 0 0 0 0 1 0 0
Scrno 1 0 0 0 0 0 0 0 0
Soldu 1 0 0 0 0 0 1 0 0
Sonol 0 0 0 0 1 0 0 0 0
Sordo 1 0 0 0 0 0 1 0 0
Sorto 1 0 0 0 0 0 1 0 0
Stasy 1 0 0 0 0 0 0 1 0
Steho 0 0 0 1 0 0 0 0 0
Steme 0 0 0 0 1 0 0 0 0
Symsp 0 0 0 0 1 0 1 0 0
Tamco 1 0 0 0 0 0 1 0 0
Tarsp 0 0 0 1 0 0 0 0 0
Taxba 0 0 0 1 0 0 1 0 0
Teusc 0 0 0 0 1 0 0 0 0
Trire 0 0 0 1 0 0 0 1 0
Ulemi 0 0 0 1 0 1 0 0 0
Ulmsp 1 0 0 0 0 0 0 0 0
Urtdi 0 0 0 0 1 0 0 1 0
Verch 0 0 0 1 0 0 0 0 0
Vicsa 0 1 0 0 0 0 0 0 0
Vicse 1 0 0 0 0 0 0 0 0
Vinmi 0 0 0 1 0 1 1 1 0
Viohi 0 0 0 1 0 1 0 0 0
Viore 0 0 0 1 0 1 0 0 0
windgl unsp
Aceca 1 0
Aceps 1 0
Agrca 0 1
Agrst 0 1
Ajure 0 0
Allpe 0 1
Anaar 0 1
Anene 0 0
Angsy 0 0
Antod 0 0
Arrel 0 0
Artvu 0 1
Aruma 0 0
Betsp 1 0
Brasy 0 0
Brost 0 0
Brydi 0 0
Calse 1 0
Calvu 1 0
Carbe 1 0
Cardi 0 1
Cheal 0 1
Chema 0 0
Cirar 1 0
Cirlu 0 0
Cirvu 1 0
Conmj 0 1
Corav 0 0
Cordi 1 1
Corsa 0 0
Crala 0 0
Cramo 0 0
Cucba 0 0
Cytsc 0 1
Dacgl 0 1
Dapla 0 0
Dauca 0 0
Desfl 0 0
Diaar 1 1
Digpu 1 0
Elyca 0 0
Epipa 1 0
Eupam 0 0
Evoeu 0 0
Fagsy 0 0
Fraal 0 0
Fraan 1 0
Frasp 1 0
Frave 0 0
Galap 0 0
Galmo 0 1
Gerro 0 0
Geuur 0 0
Glehe 0 1
Hedhe 0 0
Holla 0 1
Holmo 0 0
Hyahi 0 1
Hyano 0 1
Hyppe 1 0
Ileaq 0 0
Junco 0 0
Junef 0 0
Lacse 1 0
Lapco 0 1
Launo 0 0
Leuvu 0 1
Ligvu 0 0
Linre 0 1
Lonpe 0 0
Luzmu 0 0
Malsy 0 0
Medlu 0 1
Melof 0 1
Melpr 0 0
Melun 0 0
Meran 0 1
Milef 0 1
Molca 0 1
Paprh 1 0
Plama 0 0
Poaan 0 1
Poane 0 1
Poapr 0 1
Poatr 0 1
Polav 0 1
Polin 1 0
Polmu 0 0
Poptr 1 0
Potre 0 1
Potst 0 1
Privu 0 0
Pruav 0 0
Pruce 0 0
Prula 0 0
Prusi 0 0
Pteaq 1 0
Pyrsp 0 0
Queil 0 0
Ranac 0 0
Ranre 0 0
Robps 0 1
Rosar 0 0
Rosca 0 0
Rubca 0 0
Rubfr 0 0
Rubpe 0 0
Rumac 1 0
Rumco 0 0
Rumcr 0 1
Rumsa 0 1
Rusac 0 0
Samni 0 0
Scrno 1 0
Soldu 0 0
Sonol 1 0
Sordo 0 0
Sorto 0 0
Stasy 0 0
Steho 0 1
Steme 0 1
Symsp 0 0
Tamco 0 0
Tarsp 1 0
Taxba 0 0
Teusc 0 1
Trire 0 0
Ulemi 0 1
Ulmsp 1 0
Urtdi 0 0
Verch 0 1
Vicsa 0 1
Vicse 0 1
Vinmi 0 1
Viohi 0 0
Viore 0 0
Order of objects:
[1] Aceca Aceps Corsa Fraal Evoeu Malsy Pyrsp Pruce Sorto Robps Soldu Calvu
[13] Dapla Launo Prula Cytsc Hedhe Ileaq Rusac Ulemi Crala Cramo Prusi Pruav
[25] Rosca Sordo Rubca Samni Ligvu Lonpe Rubfr Rosar Symsp Betsp Poptr Carbe
[37] Fraan Frasp Ulmsp Corav Fagsy Queil Taxba Agrca Agrst Poane Poatr Rumcr
[49] Dacgl Milef Poapr Cardi Rumsa Luzmu Rumac Rumco Antod Elyca Brasy Desfl
[61] Holmo Junco Junef Meran Ajure Chema Potst Glehe Geuur Ranac Ranre Cirvu
[73] Dauca Digpu Gerro Diaar Epipa Leuvu Medlu Rubpe Verch Steho Vinmi Frave
[85] Trire Tarsp Polin Privu Viohi Viore Allpe Brost Galap Melpr Paprh Cheal
[97] Polav Galmo Cordi Anaar Steme Lapco Poaan Lacse Sonol Anene Conmj Aruma
[109] Hyahi Hyano Eupam Linre Melun Polmu Tamco Vicse Vicsa Angsy Molca Brydi
[121] Cucba Melof Calse Cirar Scrno Pteaq Cirlu Stasy Arrel Urtdi Plama Artvu
[133] Holla Potre Hyppe Teusc
Variable used:
[1] NULL endozoo durflow pdias longindex piq vegsout
[8] pdias endozoo durflow seasaes begflow pdias NULL
[15] everalw longindex begflow durflow height autopoll NULL
[22] vegsout pdias piq longindex begflow longindex seasaes
[29] pdias vegsout durflow vegsout wind longindex pdias
[36] NULL NULL vegsout endozoo durflow seasaes vegaer
[43] lign vegaer semiros longindex pdias begflow semiros
[50] longindex mycor begflow unsp pdias vegsout epizoo
[57] pdias autopoll pdias semiros mycor height pdias
[64] wind durflow elaio longindex pdias vegaer longindex
[71] monocarp height autopoll pdias durflow semiros longindex
[78] pdias durflow height pdias longindex ros longindex
[85] pdias mycor elaio pdias longindex everalw longindex
[92] height seasaes pdias durflow pdias longindex ros
[99] everparti durflow insects durflow windgl mycor suman
[106] longindex ros vegsout longindex leafy durflow longindex
[113] autopoll mycor pdias longindex begflow longindex pdias
[120] height autopoll vegsout pdias durflow longindex epizoo
[127] pdias everparti pdias height epizoo durflow longindex
[134] vegsout vegaer
Separation step:
[1] 0 6 8 7 5 10 9 8 7 6 4 7 8 0 6 5 7 6 7 3 0 7 6 8 7
[26] 5 6 4 5 7 6 7 2 6 5 0 0 6 4 5 3 4 1 8 7 9 8 6 8 7
[51] 5 7 6 7 8 4 7 6 8 7 5 7 6 3 9 8 7 6 8 7 5 7 9 8 6
[76] 4 7 8 6 8 7 8 5 9 8 7 6 7 8 2 7 8 6 7 5 8 7 6 4 7
[101] 6 7 5 6 3 8 7 6 7 5 8 7 8 6 8 7 4 8 7 9 8 6 9 10 8
[126] 7 8 5 8 7 6 9 8 7 8
Available components:
[1] "data" "hasNA" "order" "variable" "step" "order.lab"
[7] "call"
>
> suppressWarnings(RNGversion("3.5.0")) # back compatibility of results
> set.seed(1)
> ani.N1 <- animals; ani.N1[cbind(sample.int(20, 10), sample.int(6, 10, replace=TRUE))] <- NA
> (maniN <- mona(ani.N1, trace=TRUE))
Loop npass = 1: (ka,kb) = (1,20)
for(j ..) -> jma=1, jtel(.,z) = (10, 10) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 10, 10, 11)
--> nclu = 2, kwan[ka] = 10
L500; found kwan[1] = 10 >= 2 ==> Loop again
Loop npass = 2: (ka,kb) = (1,10)
for(j ..) -> jma=3, jtel(.,z) = (3, 7) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 7, 3, 8)
--> nclu = 3, kwan[ka] = 3
Loop npass = 2: (ka,kb) = (11,20)
for(j ..) -> jma=2, jtel(.,z) = (1, 9) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 9, 1, 20)
--> nclu = 4, kwan[ka] = 1
L500; found kwan[1] = 7 >= 2 ==> Loop again
Loop npass = 3: (ka,kb) = (1,7)
for(j ..) -> jma=5, jtel(.,z) = (1, 6) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 6, 1, 7)
--> nclu = 5, kwan[ka] = 1
Loop npass = 3: (ka,kb) = (8,10)
for(j ..) -> jma=4, jtel(.,z) = (1, 2) --> splitting: ka=8, ner[ka]=11 => (nzf, jtel2, jres, km) = (0, 1, 2, 9)
--> nclu = 6, kwan[ka] = 2
Loop npass = 3: (ka,kb) = (11,19)
for(j ..) -> jma=6, jtel(.,z) = (7, 2) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (0, 7, 2, 18)
--> nclu = 7, kwan[ka] = 2
L500; found kwan[1] = 6 >= 2 ==> Loop again
Loop npass = 4: (ka,kb) = (1,6)
for(j ..) -> jma=2, jtel(.,z) = (1, 5) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 5, 1, 6)
--> nclu = 8, kwan[ka] = 1
Loop npass = 4: (ka,kb) = (9,10)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> splitting: ka=9, ner[ka]=12 => (nzf, jtel2, jres, km) = (0, 1, 1, 10)
--> nclu = 9, kwan[ka] = 1
Loop npass = 4: (ka,kb) = (11,17)
for(j ..) -> jma=4, jtel(.,z) = (4, 3) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 3, 4, 14)
--> nclu = 10, kwan[ka] = 4
Loop npass = 4: (ka,kb) = (18,19)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> splitting: ka=18, ner[ka]=8 => (nzf, jtel2, jres, km) = (1, 1, 1, 19)
--> nclu = 11, kwan[ka] = 1
L500; found kwan[1] = 5 >= 2 ==> Loop again
Loop npass = 5: (ka,kb) = (1,5)
for(j ..) -> jma=6, jtel(.,z) = (2, 3) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 3, 2, 4)
--> nclu = 12, kwan[ka] = 2
Loop npass = 5: (ka,kb) = (11,13)
for(j ..) -> jma=5, jtel(.,z) = (2, 1) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 1, 2, 12)
--> nclu = 13, kwan[ka] = 2
Loop npass = 5: (ka,kb) = (14,17)
for(j ..) -> jma=5, jtel(.,z) = (2, 1) --> _NO_ splitting
--> nclu = 13, kwan[ka] = -4
L500; found kwan[1] = 3 >= 2 ==> Loop again
Loop npass = 6: (ka,kb) = (1,3)
for(j ..) -> jma=5, jtel(.,z) = (2, 1) --> _NO_ splitting
--> nclu = 13, kwan[ka] = -3
Loop npass = 6: (ka,kb) = (4,5)
for(j ..) -> jma=5, jtel(.,z) = (2, 1) --> _NO_ splitting
--> nclu = 13, kwan[ka] = -2
Loop npass = 6: (ka,kb) = (12,13)
for(j ..) -> jma=5, jtel(.,z) = (2, 1) --> _NO_ splitting
--> nclu = 13, kwan[ka] = -2
mona(x, ..) fit; x of dimension 20x6
Because of NA's, revised data:
war fly ver end gro hai
ant 0 0 0 0 0 0
bee 0 1 0 0 1 1
cat 1 0 1 0 0 1
cpl 0 0 0 0 0 1
chi 1 0 1 1 1 1
cow 1 0 1 0 1 1
duc 1 1 1 0 1 0
eag 1 0 1 1 0 0
ele 1 0 1 1 1 1
fly 0 1 0 0 0 0
fro 0 0 1 1 0 0
her 0 0 1 0 1 0
lio 1 0 1 1 1 1
liz 0 0 0 0 0 0
lob 0 0 0 0 0 0
man 1 0 1 1 1 1
rab 1 0 1 0 1 1
sal 0 0 1 0 0 0
spi 0 0 0 0 0 1
wha 1 0 1 1 1 0
Order of objects:
[1] ant liz lob cpl spi fly bee fro her sal cat cow rab chi ele lio man eag wha
[20] duc
Variable used:
[1] NULL NULL hai NULL fly gro ver end gro war gro NULL end NULL NULL
[16] NULL hai gro fly
Separation step:
[1] 0 0 5 0 4 3 2 3 4 1 5 0 4 0 0 0 3 4 2
Available components:
[1] "data" "hasNA" "order" "variable" "step" "order.lab"
[7] "call"
>
> for(seed in c(2:20)) {
+ set.seed(seed); cat("seed = ", seed,"\n")
+ ani.N2 <- animals
+ ani.N2[cbind(sample.int(20, 9),
+ sample.int( 6, 9, replace=TRUE))] <- NA
+ try(print(maniN2 <- mona(ani.N2, trace=TRUE)))
+ }
seed = 2
Loop npass = 1: (ka,kb) = (1,20)
for(j ..) -> jma=1, jtel(.,z) = (10, 10) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 10, 10, 11)
--> nclu = 2, kwan[ka] = 10
L500; found kwan[1] = 10 >= 2 ==> Loop again
Loop npass = 2: (ka,kb) = (1,10)
for(j ..) -> jma=3, jtel(.,z) = (4, 6) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 6, 4, 7)
--> nclu = 3, kwan[ka] = 4
Loop npass = 2: (ka,kb) = (11,20)
for(j ..) -> jma=5, jtel(.,z) = (9, 1) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (0, 9, 1, 20)
--> nclu = 4, kwan[ka] = 1
L500; found kwan[1] = 6 >= 2 ==> Loop again
Loop npass = 3: (ka,kb) = (1,6)
for(j ..) -> jma=6, jtel(.,z) = (2, 4) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 4, 2, 5)
--> nclu = 5, kwan[ka] = 2
Loop npass = 3: (ka,kb) = (7,10)
for(j ..) -> jma=4, jtel(.,z) = (1, 3) --> splitting: ka=7, ner[ka]=11 => (nzf, jtel2, jres, km) = (0, 1, 3, 8)
--> nclu = 6, kwan[ka] = 3
Loop npass = 3: (ka,kb) = (11,19)
for(j ..) -> jma=4, jtel(.,z) = (5, 4) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 4, 5, 15)
--> nclu = 7, kwan[ka] = 5
L500; found kwan[1] = 4 >= 2 ==> Loop again
Loop npass = 4: (ka,kb) = (1,4)
for(j ..) -> jma=2, jtel(.,z) = (2, 2) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 2, 2, 3)
--> nclu = 8, kwan[ka] = 2
Loop npass = 4: (ka,kb) = (5,6)
for(j ..) -> jma=2, jtel(.,z) = (2, 2) --> _NO_ splitting
--> nclu = 8, kwan[ka] = -2
Loop npass = 4: (ka,kb) = (8,10)
for(j ..) -> jma=5, jtel(.,z) = (1, 2) --> splitting: ka=8, ner[ka]=12 => (nzf, jtel2, jres, km) = (0, 1, 2, 9)
--> nclu = 9, kwan[ka] = 2
Loop npass = 4: (ka,kb) = (11,14)
for(j ..) -> jma=2, jtel(.,z) = (2, 2) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 2, 2, 13)
--> nclu = 10, kwan[ka] = 2
Loop npass = 4: (ka,kb) = (15,19)
for(j ..) -> jma=2, jtel(.,z) = (1, 4) --> splitting: ka=15, ner[ka]=5 => (nzf, jtel2, jres, km) = (1, 4, 1, 19)
--> nclu = 11, kwan[ka] = 1
L500; found kwan[1] = 2 >= 2 ==> Loop again
Loop npass = 5: (ka,kb) = (1,2)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (0, 1, 1, 2)
--> nclu = 12, kwan[ka] = 1
Loop npass = 5: (ka,kb) = (3,4)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> splitting: ka=3, ner[ka]=2 => (nzf, jtel2, jres, km) = (0, 1, 1, 4)
--> nclu = 13, kwan[ka] = 1
Loop npass = 5: (ka,kb) = (9,10)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> _NO_ splitting
--> nclu = 13, kwan[ka] = -2
Loop npass = 5: (ka,kb) = (11,12)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> _NO_ splitting
--> nclu = 13, kwan[ka] = -2
Loop npass = 5: (ka,kb) = (13,14)
for(j ..) -> jma=6, jtel(.,z) = (1, 1) --> splitting: ka=13, ner[ka]=6 => (nzf, jtel2, jres, km) = (0, 1, 1, 14)
--> nclu = 14, kwan[ka] = 1
Loop npass = 5: (ka,kb) = (15,18)
for(j ..) -> jma=6, jtel(.,z) = (2, 2) --> splitting: ka=15, ner[ka]=5 => (nzf, jtel2, jres, km) = (0, 2, 2, 17)
--> nclu = 15, kwan[ka] = 2
L500; found kwan[15] = 2 >= 2 ==> Loop again
Loop npass = 6: (ka,kb) = (15,16)
for(j ..) -> jma=6, jtel(.,z) = (2, 2) --> _NO_ splitting
--> nclu = 15, kwan[ka] = -2
Loop npass = 6: (ka,kb) = (17,18)
for(j ..) -> jma=6, jtel(.,z) = (2, 2) --> _NO_ splitting
--> nclu = 15, kwan[ka] = -2
mona(x, ..) fit; x of dimension 20x6
Because of NA's, revised data:
war fly ver end gro hai
ant 0 0 0 0 1 0
bee 0 1 0 0 1 0
cat 1 0 1 0 1 1
cpl 0 0 0 0 0 1
chi 1 0 1 1 1 1
cow 1 1 1 0 1 1
duc 1 1 1 0 1 0
eag 1 1 1 1 0 0
ele 1 0 1 1 1 0
fly 0 1 0 0 0 0
fro 0 0 1 1 0 0
her 0 0 1 0 1 0
lio 1 0 1 1 1 1
liz 0 0 1 0 0 0
lob 0 0 0 0 0 0
man 1 1 1 1 1 1
rab 1 0 1 0 1 1
sal 0 0 1 0 0 0
spi 0 0 0 0 0 1
wha 1 0 1 1 1 0
Order of objects:
[1] ant lob bee fly cpl spi fro her liz sal cat rab cow duc chi lio ele wha man
[20] eag
Variable used:
[1] gro fly gro hai NULL ver end gro NULL war NULL fly hai end NULL
[16] hai NULL fly gro
Separation step:
[1] 5 4 5 3 0 2 3 4 0 1 0 4 5 3 0 5 0 4 2
Available components:
[1] "data" "hasNA" "order" "variable" "step" "order.lab"
[7] "call"
seed = 3
Loop npass = 1: (ka,kb) = (1,20)
for(j ..) -> jma=1, jtel(.,z) = (10, 10) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 10, 10, 11)
--> nclu = 2, kwan[ka] = 10
L500; found kwan[1] = 10 >= 2 ==> Loop again
Loop npass = 2: (ka,kb) = (1,10)
for(j ..) -> jma=3, jtel(.,z) = (4, 6) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 6, 4, 7)
--> nclu = 3, kwan[ka] = 4
Loop npass = 2: (ka,kb) = (11,20)
for(j ..) -> jma=2, jtel(.,z) = (2, 8) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 8, 2, 19)
--> nclu = 4, kwan[ka] = 2
L500; found kwan[1] = 6 >= 2 ==> Loop again
Loop npass = 3: (ka,kb) = (1,6)
for(j ..) -> jma=5, jtel(.,z) = (3, 3) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (0, 3, 3, 4)
--> nclu = 5, kwan[ka] = 3
Loop npass = 3: (ka,kb) = (7,10)
for(j ..) -> jma=4, jtel(.,z) = (1, 3) --> splitting: ka=7, ner[ka]=11 => (nzf, jtel2, jres, km) = (0, 1, 3, 8)
--> nclu = 6, kwan[ka] = 3
Loop npass = 3: (ka,kb) = (11,18)
for(j ..) -> jma=4, jtel(.,z) = (6, 2) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 2, 6, 13)
--> nclu = 7, kwan[ka] = 6
Loop npass = 3: (ka,kb) = (19,20)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> splitting: ka=19, ner[ka]=7 => (nzf, jtel2, jres, km) = (0, 1, 1, 20)
--> nclu = 8, kwan[ka] = 1
L500; found kwan[1] = 3 >= 2 ==> Loop again
Loop npass = 4: (ka,kb) = (1,3)
for(j ..) -> jma=2, jtel(.,z) = (1, 2) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 2, 1, 3)
--> nclu = 9, kwan[ka] = 1
Loop npass = 4: (ka,kb) = (4,6)
for(j ..) -> jma=2, jtel(.,z) = (1, 2) --> splitting: ka=4, ner[ka]=4 => (nzf, jtel2, jres, km) = (1, 2, 1, 6)
--> nclu = 10, kwan[ka] = 1
Loop npass = 4: (ka,kb) = (8,10)
for(j ..) -> jma=5, jtel(.,z) = (1, 2) --> splitting: ka=8, ner[ka]=12 => (nzf, jtel2, jres, km) = (0, 1, 2, 9)
--> nclu = 11, kwan[ka] = 2
Loop npass = 4: (ka,kb) = (11,12)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 1, 1, 12)
--> nclu = 12, kwan[ka] = 1
Loop npass = 4: (ka,kb) = (13,18)
for(j ..) -> jma=6, jtel(.,z) = (4, 2) --> splitting: ka=13, ner[ka]=5 => (nzf, jtel2, jres, km) = (0, 4, 2, 17)
--> nclu = 13, kwan[ka] = 2
L500; found kwan[1] = 2 >= 2 ==> Loop again
Loop npass = 5: (ka,kb) = (1,2)
for(j ..) -> jma=6, jtel(.,z) = (4, 2) --> _NO_ splitting
--> nclu = 13, kwan[ka] = -2
Loop npass = 5: (ka,kb) = (4,5)
for(j ..) -> jma=6, jtel(.,z) = (4, 2) --> _NO_ splitting
--> nclu = 13, kwan[ka] = -2
Loop npass = 5: (ka,kb) = (9,10)
for(j ..) -> jma=6, jtel(.,z) = (4, 2) --> _NO_ splitting
--> nclu = 13, kwan[ka] = -2
Loop npass = 5: (ka,kb) = (13,16)
for(j ..) -> jma=6, jtel(.,z) = (4, 2) --> _NO_ splitting
--> nclu = 13, kwan[ka] = -4
Loop npass = 5: (ka,kb) = (17,18)
for(j ..) -> jma=6, jtel(.,z) = (4, 2) --> _NO_ splitting
--> nclu = 13, kwan[ka] = -2
mona(x, ..) fit; x of dimension 20x6
Because of NA's, revised data:
war fly ver end gro hai
ant 0 0 0 0 1 0
bee 0 1 0 0 1 1
cat 1 0 1 0 0 1
cpl 0 0 0 0 0 1
chi 1 0 1 1 1 1
cow 1 0 1 1 1 1
duc 1 1 1 1 1 0
eag 1 1 1 1 0 0
ele 1 0 1 1 1 0
fly 0 1 0 0 0 0
fro 0 0 1 1 0 0
her 0 0 1 0 1 0
lio 1 0 1 1 1 1
liz 0 0 1 0 0 0
lob 0 0 0 0 1 0
man 1 0 1 1 1 1
rab 1 0 1 0 1 1
sal 0 0 1 0 0 0
spi 0 0 0 0 0 1
wha 1 0 1 1 1 0
Order of objects:
[1] ant lob bee cpl spi fly fro her liz sal cat rab chi cow lio man ele wha duc
[20] eag
Variable used:
[1] NULL fly gro NULL fly ver end gro NULL war gro end NULL NULL NULL
[16] hai NULL fly gro
Separation step:
[1] 0 4 3 0 4 2 3 4 0 1 4 3 0 0 0 4 0 2 3
Available components:
[1] "data" "hasNA" "order" "variable" "step" "order.lab"
[7] "call"
seed = 4
Error in mona(ani.N2, trace = TRUE) :
No clustering performed, all variables have at least one missing value.
seed = 5
Error in mona(ani.N2, trace = TRUE) :
No clustering performed, all variables have at least one missing value.
seed = 6
Loop npass = 1: (ka,kb) = (1,20)
for(j ..) -> jma=3, jtel(.,z) = (14, 6) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 6, 14, 7)
--> nclu = 2, kwan[ka] = 14
L500; found kwan[1] = 6 >= 2 ==> Loop again
Loop npass = 2: (ka,kb) = (1,6)
for(j ..) -> jma=2, jtel(.,z) = (2, 4) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 4, 2, 5)
--> nclu = 3, kwan[ka] = 2
Loop npass = 2: (ka,kb) = (7,20)
for(j ..) -> jma=6, jtel(.,z) = (5, 9) --> splitting: ka=7, ner[ka]=3 => (nzf, jtel2, jres, km) = (0, 5, 9, 12)
--> nclu = 4, kwan[ka] = 9
L500; found kwan[1] = 4 >= 2 ==> Loop again
Loop npass = 3: (ka,kb) = (1,4)
for(j ..) -> jma=5, jtel(.,z) = (1, 3) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (0, 1, 3, 2)
--> nclu = 5, kwan[ka] = 3
Loop npass = 3: (ka,kb) = (5,6)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> splitting: ka=5, ner[ka]=2 => (nzf, jtel2, jres, km) = (0, 1, 1, 6)
--> nclu = 6, kwan[ka] = 1
Loop npass = 3: (ka,kb) = (7,11)
for(j ..) -> jma=4, jtel(.,z) = (2, 3) --> splitting: ka=7, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 3, 2, 10)
--> nclu = 7, kwan[ka] = 2
Loop npass = 3: (ka,kb) = (12,20)
for(j ..) -> jma=2, jtel(.,z) = (2, 7) --> splitting: ka=12, ner[ka]=5 => (nzf, jtel2, jres, km) = (1, 7, 2, 19)
--> nclu = 8, kwan[ka] = 2
L500; found kwan[2] = 3 >= 2 ==> Loop again
Loop npass = 4: (ka,kb) = (2,4)
for(j ..) -> jma=6, jtel(.,z) = (2, 1) --> splitting: ka=2, ner[ka]=4 => (nzf, jtel2, jres, km) = (0, 2, 1, 4)
--> nclu = 9, kwan[ka] = 1
Loop npass = 4: (ka,kb) = (7,9)
for(j ..) -> jma=5, jtel(.,z) = (2, 1) --> splitting: ka=7, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 1, 2, 8)
--> nclu = 10, kwan[ka] = 2
Loop npass = 4: (ka,kb) = (10,11)
for(j ..) -> jma=5, jtel(.,z) = (2, 1) --> _NO_ splitting
--> nclu = 10, kwan[ka] = -2
Loop npass = 4: (ka,kb) = (12,18)
for(j ..) -> jma=4, jtel(.,z) = (5, 2) --> splitting: ka=12, ner[ka]=5 => (nzf, jtel2, jres, km) = (0, 5, 2, 17)
--> nclu = 11, kwan[ka] = 2
Loop npass = 4: (ka,kb) = (19,20)
for(j ..) -> jma=4, jtel(.,z) = (1, 1) --> splitting: ka=19, ner[ka]=7 => (nzf, jtel2, jres, km) = (1, 1, 1, 20)
--> nclu = 12, kwan[ka] = 1
L500; found kwan[2] = 2 >= 2 ==> Loop again
Loop npass = 5: (ka,kb) = (2,3)
for(j ..) -> jma=4, jtel(.,z) = (1, 1) --> _NO_ splitting
--> nclu = 12, kwan[ka] = -2
Loop npass = 5: (ka,kb) = (8,9)
for(j ..) -> jma=4, jtel(.,z) = (1, 1) --> _NO_ splitting
--> nclu = 12, kwan[ka] = -2
Loop npass = 5: (ka,kb) = (12,16)
for(j ..) -> jma=1, jtel(.,z) = (3, 2) --> splitting: ka=12, ner[ka]=5 => (nzf, jtel2, jres, km) = (0, 3, 2, 15)
--> nclu = 13, kwan[ka] = 2
Loop npass = 5: (ka,kb) = (17,18)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> splitting: ka=17, ner[ka]=12 => (nzf, jtel2, jres, km) = (0, 1, 1, 18)
--> nclu = 14, kwan[ka] = 1
L500; found kwan[12] = 3 >= 2 ==> Loop again
Loop npass = 6: (ka,kb) = (12,14)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> _NO_ splitting
--> nclu = 14, kwan[ka] = -3
Loop npass = 6: (ka,kb) = (15,16)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> _NO_ splitting
--> nclu = 14, kwan[ka] = -2
mona(x, ..) fit; x of dimension 20x6
Because of NA's, revised data:
war fly ver end gro hai
ant 0 0 0 0 1 0
bee 0 1 0 0 1 1
cat 1 0 1 0 0 1
cpl 0 0 0 0 0 1
chi 1 0 1 1 1 0
cow 1 0 1 0 1 1
duc 1 1 1 0 1 0
eag 1 1 1 1 0 0
ele 1 0 1 1 1 0
fly 0 1 0 0 0 0
fro 0 0 1 1 1 0
her 0 0 1 0 1 0
lio 1 0 1 1 1 1
liz 0 0 1 0 0 0
lob 0 0 0 0 0 0
man 1 0 1 1 1 1
rab 1 0 1 0 1 1
sal 0 0 1 1 1 0
spi 0 0 0 0 0 1
wha 1 0 1 1 1 0
Order of objects:
[1] ant cpl spi lob bee fly cat cow rab lio man chi ele wha fro sal her liz duc
[20] eag
Variable used:
[1] gro NULL hai fly gro ver gro NULL end NULL hai NULL NULL war NULL
[16] end gro fly end
Separation step:
[1] 3 0 4 2 3 1 4 0 3 0 2 0 0 5 0 4 5 3 4
Available components:
[1] "data" "hasNA" "order" "variable" "step" "order.lab"
[7] "call"
seed = 7
Loop npass = 1: (ka,kb) = (1,20)
for(j ..) -> jma=1, jtel(.,z) = (11, 9) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 9, 11, 10)
--> nclu = 2, kwan[ka] = 11
L500; found kwan[1] = 9 >= 2 ==> Loop again
Loop npass = 2: (ka,kb) = (1,9)
for(j ..) -> jma=3, jtel(.,z) = (3, 6) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 6, 3, 7)
--> nclu = 3, kwan[ka] = 3
Loop npass = 2: (ka,kb) = (10,20)
for(j ..) -> jma=6, jtel(.,z) = (7, 4) --> splitting: ka=10, ner[ka]=3 => (nzf, jtel2, jres, km) = (0, 7, 4, 17)
--> nclu = 4, kwan[ka] = 4
L500; found kwan[1] = 6 >= 2 ==> Loop again
Loop npass = 3: (ka,kb) = (1,6)
for(j ..) -> jma=2, jtel(.,z) = (2, 4) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 4, 2, 5)
--> nclu = 5, kwan[ka] = 2
Loop npass = 3: (ka,kb) = (7,9)
for(j ..) -> jma=4, jtel(.,z) = (1, 2) --> splitting: ka=7, ner[ka]=11 => (nzf, jtel2, jres, km) = (0, 1, 2, 8)
--> nclu = 6, kwan[ka] = 2
Loop npass = 3: (ka,kb) = (10,16)
for(j ..) -> jma=5, jtel(.,z) = (5, 2) --> splitting: ka=10, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 2, 5, 12)
--> nclu = 7, kwan[ka] = 5
Loop npass = 3: (ka,kb) = (17,20)
for(j ..) -> jma=2, jtel(.,z) = (2, 2) --> splitting: ka=17, ner[ka]=7 => (nzf, jtel2, jres, km) = (0, 2, 2, 19)
--> nclu = 8, kwan[ka] = 2
L500; found kwan[1] = 4 >= 2 ==> Loop again
Loop npass = 4: (ka,kb) = (1,4)
for(j ..) -> jma=5, jtel(.,z) = (2, 2) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (0, 2, 2, 3)
--> nclu = 9, kwan[ka] = 2
Loop npass = 4: (ka,kb) = (5,6)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> splitting: ka=5, ner[ka]=2 => (nzf, jtel2, jres, km) = (0, 1, 1, 6)
--> nclu = 10, kwan[ka] = 1
Loop npass = 4: (ka,kb) = (8,9)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> _NO_ splitting
--> nclu = 10, kwan[ka] = -2
Loop npass = 4: (ka,kb) = (10,11)
for(j ..) -> jma=3, jtel(.,z) = (1, 1) --> splitting: ka=10, ner[ka]=3 => (nzf, jtel2, jres, km) = (0, 1, 1, 11)
--> nclu = 11, kwan[ka] = 1
Loop npass = 4: (ka,kb) = (12,16)
for(j ..) -> jma=4, jtel(.,z) = (2, 3) --> splitting: ka=12, ner[ka]=5 => (nzf, jtel2, jres, km) = (0, 2, 3, 14)
--> nclu = 12, kwan[ka] = 3
Loop npass = 4: (ka,kb) = (17,18)
for(j ..) -> jma=4, jtel(.,z) = (1, 1) --> splitting: ka=17, ner[ka]=7 => (nzf, jtel2, jres, km) = (1, 1, 1, 18)
--> nclu = 13, kwan[ka] = 1
Loop npass = 4: (ka,kb) = (19,20)
for(j ..) -> jma=3, jtel(.,z) = (1, 1) --> splitting: ka=19, ner[ka]=9 => (nzf, jtel2, jres, km) = (0, 1, 1, 20)
--> nclu = 14, kwan[ka] = 1
L500; found kwan[1] = 2 >= 2 ==> Loop again
Loop npass = 5: (ka,kb) = (1,2)
for(j ..) -> jma=3, jtel(.,z) = (1, 1) --> _NO_ splitting
--> nclu = 14, kwan[ka] = -2
Loop npass = 5: (ka,kb) = (3,4)
for(j ..) -> jma=6, jtel(.,z) = (1, 1) --> splitting: ka=3, ner[ka]=15 => (nzf, jtel2, jres, km) = (1, 1, 1, 4)
--> nclu = 15, kwan[ka] = 1
Loop npass = 5: (ka,kb) = (12,13)
for(j ..) -> jma=6, jtel(.,z) = (1, 1) --> _NO_ splitting
--> nclu = 15, kwan[ka] = -2
Loop npass = 5: (ka,kb) = (14,16)
for(j ..) -> jma=6, jtel(.,z) = (1, 1) --> _NO_ splitting
--> nclu = 15, kwan[ka] = -3
mona(x, ..) fit; x of dimension 20x6
Because of NA's, revised data:
war fly ver end gro hai
ant 0 0 0 0 1 0
bee 0 1 0 0 1 1
cat 1 0 1 0 0 1
cpl 1 0 0 0 0 1
chi 1 0 1 1 1 1
cow 1 0 1 0 1 1
duc 1 1 1 0 1 0
eag 1 1 1 1 0 0
ele 1 0 1 1 1 0
fly 0 1 0 0 0 0
fro 0 0 1 1 0 0
her 0 0 0 0 1 0
lio 1 0 1 0 1 1
liz 0 0 1 0 0 0
lob 0 0 0 0 0 0
man 1 0 1 1 1 1
rab 1 0 1 0 1 1
sal 0 0 1 0 0 0
spi 0 0 0 0 0 1
wha 1 0 0 1 1 0
Order of objects:
[1] ant her lob spi bee fly fro liz sal cat cpl chi man cow lio rab duc eag ele
[20] wha
Variable used:
[1] NULL gro hai fly gro ver end NULL war ver gro NULL end NULL NULL
[16] hai end fly ver
Separation step:
[1] 0 4 5 3 4 2 3 0 1 4 3 0 4 0 0 2 4 3 4
Available components:
[1] "data" "hasNA" "order" "variable" "step" "order.lab"
[7] "call"
seed = 8
Error in mona(ani.N2, trace = TRUE) :
No clustering performed, all variables have at least one missing value.
seed = 9
Error in mona(ani.N2, trace = TRUE) :
No clustering performed, all variables have at least one missing value.
seed = 10
Loop npass = 1: (ka,kb) = (1,20)
for(j ..) -> jma=1, jtel(.,z) = (10, 10) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 10, 10, 11)
--> nclu = 2, kwan[ka] = 10
L500; found kwan[1] = 10 >= 2 ==> Loop again
Loop npass = 2: (ka,kb) = (1,10)
for(j ..) -> jma=4, jtel(.,z) = (1, 9) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 9, 1, 10)
--> nclu = 3, kwan[ka] = 1
Loop npass = 2: (ka,kb) = (11,20)
for(j ..) -> jma=6, jtel(.,z) = (6, 4) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (0, 6, 4, 17)
--> nclu = 4, kwan[ka] = 4
L500; found kwan[1] = 9 >= 2 ==> Loop again
Loop npass = 3: (ka,kb) = (1,9)
for(j ..) -> jma=3, jtel(.,z) = (4, 5) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 5, 4, 6)
--> nclu = 5, kwan[ka] = 4
Loop npass = 3: (ka,kb) = (11,16)
for(j ..) -> jma=4, jtel(.,z) = (2, 4) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 4, 2, 15)
--> nclu = 6, kwan[ka] = 2
Loop npass = 3: (ka,kb) = (17,20)
for(j ..) -> jma=2, jtel(.,z) = (2, 2) --> splitting: ka=17, ner[ka]=7 => (nzf, jtel2, jres, km) = (0, 2, 2, 19)
--> nclu = 7, kwan[ka] = 2
L500; found kwan[1] = 5 >= 2 ==> Loop again
Loop npass = 4: (ka,kb) = (1,5)
for(j ..) -> jma=2, jtel(.,z) = (2, 3) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 3, 2, 4)
--> nclu = 8, kwan[ka] = 2
Loop npass = 4: (ka,kb) = (6,9)
for(j ..) -> jma=2, jtel(.,z) = (1, 3) --> splitting: ka=6, ner[ka]=4 => (nzf, jtel2, jres, km) = (1, 3, 1, 9)
--> nclu = 9, kwan[ka] = 1
Loop npass = 4: (ka,kb) = (11,14)
for(j ..) -> jma=5, jtel(.,z) = (3, 1) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 1, 3, 12)
--> nclu = 10, kwan[ka] = 3
Loop npass = 4: (ka,kb) = (15,16)
for(j ..) -> jma=5, jtel(.,z) = (3, 1) --> _NO_ splitting
--> nclu = 10, kwan[ka] = -2
Loop npass = 4: (ka,kb) = (17,18)
for(j ..) -> jma=4, jtel(.,z) = (1, 1) --> splitting: ka=17, ner[ka]=7 => (nzf, jtel2, jres, km) = (1, 1, 1, 18)
--> nclu = 11, kwan[ka] = 1
Loop npass = 4: (ka,kb) = (19,20)
for(j ..) -> jma=4, jtel(.,z) = (1, 1) --> _NO_ splitting
--> nclu = 11, kwan[ka] = -2
L500; found kwan[1] = 3 >= 2 ==> Loop again
Loop npass = 5: (ka,kb) = (1,3)
for(j ..) -> jma=5, jtel(.,z) = (1, 2) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (0, 1, 2, 2)
--> nclu = 12, kwan[ka] = 2
Loop npass = 5: (ka,kb) = (4,5)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> splitting: ka=4, ner[ka]=2 => (nzf, jtel2, jres, km) = (0, 1, 1, 5)
--> nclu = 13, kwan[ka] = 1
Loop npass = 5: (ka,kb) = (6,8)
for(j ..) -> jma=5, jtel(.,z) = (1, 2) --> splitting: ka=6, ner[ka]=4 => (nzf, jtel2, jres, km) = (1, 2, 1, 8)
--> nclu = 14, kwan[ka] = 1
Loop npass = 5: (ka,kb) = (12,14)
for(j ..) -> jma=5, jtel(.,z) = (1, 2) --> _NO_ splitting
--> nclu = 14, kwan[ka] = -3
L500; found kwan[2] = 2 >= 2 ==> Loop again
Loop npass = 6: (ka,kb) = (2,3)
for(j ..) -> jma=6, jtel(.,z) = (1, 1) --> splitting: ka=2, ner[ka]=15 => (nzf, jtel2, jres, km) = (1, 1, 1, 3)
--> nclu = 15, kwan[ka] = 1
Loop npass = 6: (ka,kb) = (6,7)
for(j ..) -> jma=6, jtel(.,z) = (1, 1) --> splitting: ka=6, ner[ka]=4 => (nzf, jtel2, jres, km) = (0, 1, 1, 7)
--> nclu = 16, kwan[ka] = 1
mona(x, ..) fit; x of dimension 20x6
Because of NA's, revised data:
war fly ver end gro hai
ant 0 0 0 0 1 0
bee 0 1 0 0 1 1
cat 1 0 1 0 0 1
cpl 0 0 1 0 0 1
chi 1 0 1 1 1 1
cow 1 0 1 0 1 1
duc 1 1 1 0 1 0
eag 1 1 1 1 0 0
ele 1 0 1 1 1 0
fly 0 1 0 0 0 0
fro 0 0 0 1 0 0
her 0 0 1 0 1 0
lio 1 0 1 0 1 1
liz 0 0 1 0 0 0
lob 0 0 0 0 0 0
man 1 0 1 1 1 1
rab 1 0 1 0 1 1
sal 0 1 1 0 0 0
spi 0 0 0 0 0 1
wha 1 0 1 1 1 0
Order of objects:
[1] ant lob spi bee fly cpl liz her sal fro cat cow lio rab chi man duc eag ele
[20] wha
Variable used:
[1] gro hai fly gro ver hai gro fly end war gro NULL NULL end NULL
[16] hai end fly NULL
Separation step:
[1] 5 6 4 5 3 6 5 4 2 1 4 0 0 3 0 2 4 3 0
Available components:
[1] "data" "hasNA" "order" "variable" "step" "order.lab"
[7] "call"
seed = 11
Error in mona(ani.N2, trace = TRUE) :
No clustering performed, all variables have at least one missing value.
seed = 12
Loop npass = 1: (ka,kb) = (1,20)
for(j ..) -> jma=6, jtel(.,z) = (9, 11) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 11, 9, 12)
--> nclu = 2, kwan[ka] = 9
L500; found kwan[1] = 11 >= 2 ==> Loop again
Loop npass = 2: (ka,kb) = (1,11)
for(j ..) -> jma=1, jtel(.,z) = (4, 7) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 7, 4, 8)
--> nclu = 3, kwan[ka] = 4
Loop npass = 2: (ka,kb) = (12,20)
for(j ..) -> jma=5, jtel(.,z) = (6, 3) --> splitting: ka=12, ner[ka]=2 => (nzf, jtel2, jres, km) = (0, 6, 3, 18)
--> nclu = 4, kwan[ka] = 3
L500; found kwan[1] = 7 >= 2 ==> Loop again
Loop npass = 3: (ka,kb) = (1,7)
for(j ..) -> jma=2, jtel(.,z) = (2, 5) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (0, 2, 5, 3)
--> nclu = 5, kwan[ka] = 5
Loop npass = 3: (ka,kb) = (8,11)
for(j ..) -> jma=2, jtel(.,z) = (2, 2) --> splitting: ka=8, ner[ka]=7 => (nzf, jtel2, jres, km) = (0, 2, 2, 10)
--> nclu = 6, kwan[ka] = 2
Loop npass = 3: (ka,kb) = (12,17)
for(j ..) -> jma=3, jtel(.,z) = (3, 3) --> splitting: ka=12, ner[ka]=2 => (nzf, jtel2, jres, km) = (1, 3, 3, 15)
--> nclu = 7, kwan[ka] = 3
Loop npass = 3: (ka,kb) = (18,20)
for(j ..) -> jma=1, jtel(.,z) = (1, 2) --> splitting: ka=18, ner[ka]=3 => (nzf, jtel2, jres, km) = (0, 1, 2, 19)
--> nclu = 8, kwan[ka] = 2
L500; found kwan[1] = 2 >= 2 ==> Loop again
Loop npass = 4: (ka,kb) = (1,2)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (0, 1, 1, 2)
--> nclu = 9, kwan[ka] = 1
Loop npass = 4: (ka,kb) = (3,7)
for(j ..) -> jma=4, jtel(.,z) = (2, 3) --> splitting: ka=3, ner[ka]=11 => (nzf, jtel2, jres, km) = (0, 2, 3, 5)
--> nclu = 10, kwan[ka] = 3
Loop npass = 4: (ka,kb) = (8,9)
for(j ..) -> jma=4, jtel(.,z) = (1, 1) --> splitting: ka=8, ner[ka]=7 => (nzf, jtel2, jres, km) = (1, 1, 1, 9)
--> nclu = 11, kwan[ka] = 1
Loop npass = 4: (ka,kb) = (10,11)
for(j ..) -> jma=4, jtel(.,z) = (1, 1) --> _NO_ splitting
--> nclu = 11, kwan[ka] = -2
Loop npass = 4: (ka,kb) = (12,14)
for(j ..) -> jma=2, jtel(.,z) = (1, 2) --> splitting: ka=12, ner[ka]=2 => (nzf, jtel2, jres, km) = (0, 1, 2, 13)
--> nclu = 12, kwan[ka] = 2
Loop npass = 4: (ka,kb) = (15,17)
for(j ..) -> jma=2, jtel(.,z) = (1, 2) --> _NO_ splitting
--> nclu = 12, kwan[ka] = -3
Loop npass = 4: (ka,kb) = (19,20)
for(j ..) -> jma=2, jtel(.,z) = (1, 2) --> _NO_ splitting
--> nclu = 12, kwan[ka] = -2
L500; found kwan[3] = 2 >= 2 ==> Loop again
Loop npass = 5: (ka,kb) = (3,4)
for(j ..) -> jma=3, jtel(.,z) = (1, 1) --> splitting: ka=3, ner[ka]=11 => (nzf, jtel2, jres, km) = (0, 1, 1, 4)
--> nclu = 13, kwan[ka] = 1
Loop npass = 5: (ka,kb) = (5,7)
for(j ..) -> jma=5, jtel(.,z) = (1, 2) --> splitting: ka=5, ner[ka]=12 => (nzf, jtel2, jres, km) = (0, 1, 2, 6)
--> nclu = 14, kwan[ka] = 2
Loop npass = 5: (ka,kb) = (13,14)
for(j ..) -> jma=5, jtel(.,z) = (1, 2) --> _NO_ splitting
--> nclu = 14, kwan[ka] = -2
L500; found kwan[6] = 2 >= 2 ==> Loop again
Loop npass = 6: (ka,kb) = (6,7)
for(j ..) -> jma=5, jtel(.,z) = (1, 2) --> _NO_ splitting
--> nclu = 14, kwan[ka] = -2
mona(x, ..) fit; x of dimension 20x6
Because of NA's, revised data:
war fly ver end gro hai
ant 0 1 0 0 1 0
bee 1 1 0 0 1 1
cat 1 0 0 0 0 1
cpl 0 0 0 0 0 1
chi 1 0 0 1 1 1
cow 1 0 1 0 1 1
duc 1 1 1 0 1 0
eag 1 1 1 1 0 0
ele 1 0 1 1 1 0
fly 0 1 0 0 0 0
fro 0 0 1 1 0 0
her 0 0 1 0 1 0
lio 1 0 1 0 1 1
liz 0 0 1 0 0 0
lob 0 0 0 1 0 0
man 1 0 0 1 1 1
rab 1 0 1 0 1 1
sal 0 0 1 0 0 0
spi 0 0 0 0 0 1
wha 1 0 1 1 1 0
Order of objects:
[1] ant fly fro lob her liz sal duc eag ele wha bee chi man cow lio rab cat cpl
[20] spi
Variable used:
[1] gro fly ver end gro NULL war end fly NULL hai fly NULL ver NULL
[16] NULL gro war NULL
Separation step:
[1] 4 3 5 4 5 0 2 4 3 0 1 4 0 3 0 0 2 3 0
Available components:
[1] "data" "hasNA" "order" "variable" "step" "order.lab"
[7] "call"
seed = 13
Loop npass = 1: (ka,kb) = (1,20)
for(j ..) -> jma=1, jtel(.,z) = (10, 10) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 10, 10, 11)
--> nclu = 2, kwan[ka] = 10
L500; found kwan[1] = 10 >= 2 ==> Loop again
Loop npass = 2: (ka,kb) = (1,10)
for(j ..) -> jma=6, jtel(.,z) = (2, 8) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 8, 2, 9)
--> nclu = 3, kwan[ka] = 2
Loop npass = 2: (ka,kb) = (11,20)
for(j ..) -> jma=6, jtel(.,z) = (6, 4) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (0, 6, 4, 17)
--> nclu = 4, kwan[ka] = 4
L500; found kwan[1] = 8 >= 2 ==> Loop again
Loop npass = 3: (ka,kb) = (1,8)
for(j ..) -> jma=2, jtel(.,z) = (2, 6) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 6, 2, 7)
--> nclu = 5, kwan[ka] = 2
Loop npass = 3: (ka,kb) = (9,10)
for(j ..) -> jma=2, jtel(.,z) = (2, 6) --> _NO_ splitting
--> nclu = 5, kwan[ka] = -2
Loop npass = 3: (ka,kb) = (11,16)
for(j ..) -> jma=5, jtel(.,z) = (5, 1) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 1, 5, 12)
--> nclu = 6, kwan[ka] = 5
Loop npass = 3: (ka,kb) = (17,20)
for(j ..) -> jma=2, jtel(.,z) = (2, 2) --> splitting: ka=17, ner[ka]=7 => (nzf, jtel2, jres, km) = (0, 2, 2, 19)
--> nclu = 7, kwan[ka] = 2
L500; found kwan[1] = 6 >= 2 ==> Loop again
Loop npass = 4: (ka,kb) = (1,6)
for(j ..) -> jma=3, jtel(.,z) = (4, 2) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 2, 4, 3)
--> nclu = 8, kwan[ka] = 4
Loop npass = 4: (ka,kb) = (7,8)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> splitting: ka=7, ner[ka]=2 => (nzf, jtel2, jres, km) = (0, 1, 1, 8)
--> nclu = 9, kwan[ka] = 1
Loop npass = 4: (ka,kb) = (12,16)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> _NO_ splitting
--> nclu = 9, kwan[ka] = -5
Loop npass = 4: (ka,kb) = (17,18)
for(j ..) -> jma=4, jtel(.,z) = (1, 1) --> splitting: ka=17, ner[ka]=7 => (nzf, jtel2, jres, km) = (1, 1, 1, 18)
--> nclu = 10, kwan[ka] = 1
Loop npass = 4: (ka,kb) = (19,20)
for(j ..) -> jma=4, jtel(.,z) = (1, 1) --> _NO_ splitting
--> nclu = 10, kwan[ka] = -2
L500; found kwan[1] = 2 >= 2 ==> Loop again
Loop npass = 5: (ka,kb) = (1,2)
for(j ..) -> jma=4, jtel(.,z) = (1, 1) --> _NO_ splitting
--> nclu = 10, kwan[ka] = -2
Loop npass = 5: (ka,kb) = (3,6)
for(j ..) -> jma=5, jtel(.,z) = (3, 1) --> splitting: ka=3, ner[ka]=11 => (nzf, jtel2, jres, km) = (0, 3, 1, 6)
--> nclu = 11, kwan[ka] = 1
L500; found kwan[3] = 3 >= 2 ==> Loop again
Loop npass = 6: (ka,kb) = (3,5)
for(j ..) -> jma=5, jtel(.,z) = (3, 1) --> _NO_ splitting
--> nclu = 11, kwan[ka] = -3
mona(x, ..) fit; x of dimension 20x6
Because of NA's, revised data:
war fly ver end gro hai
ant 0 0 0 0 1 0
bee 0 1 0 0 1 0
cat 1 0 1 0 0 1
cpl 0 0 0 0 0 1
chi 1 0 1 0 1 1
cow 1 0 1 0 1 1
duc 1 1 1 0 1 0
eag 1 1 1 1 0 0
ele 1 0 1 1 1 0
fly 0 1 0 0 0 0
fro 0 0 1 0 1 0
her 0 0 1 0 1 0
lio 1 0 1 0 1 1
liz 0 0 1 0 0 0
lob 0 0 0 0 1 0
man 1 0 1 0 1 1
rab 1 0 1 0 1 1
sal 0 0 1 0 1 0
spi 0 0 0 0 0 1
wha 1 0 1 1 1 0
Order of objects:
[1] ant lob fro her sal liz bee fly cpl spi cat chi cow lio man rab duc eag ele
[20] wha
Variable used:
[1] NULL ver NULL NULL gro fly gro hai NULL war gro NULL NULL NULL NULL
[16] hai end fly NULL
Separation step:
[1] 0 4 0 0 5 3 4 2 0 1 3 0 0 0 0 2 4 3 0
Available components:
[1] "data" "hasNA" "order" "variable" "step" "order.lab"
[7] "call"
seed = 14
Loop npass = 1: (ka,kb) = (1,20)
for(j ..) -> jma=1, jtel(.,z) = (10, 10) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 10, 10, 11)
--> nclu = 2, kwan[ka] = 10
L500; found kwan[1] = 10 >= 2 ==> Loop again
Loop npass = 2: (ka,kb) = (1,10)
for(j ..) -> jma=3, jtel(.,z) = (4, 6) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 6, 4, 7)
--> nclu = 3, kwan[ka] = 4
Loop npass = 2: (ka,kb) = (11,20)
for(j ..) -> jma=2, jtel(.,z) = (2, 8) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 8, 2, 19)
--> nclu = 4, kwan[ka] = 2
L500; found kwan[1] = 6 >= 2 ==> Loop again
Loop npass = 3: (ka,kb) = (1,6)
for(j ..) -> jma=4, jtel(.,z) = (1, 5) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 5, 1, 6)
--> nclu = 5, kwan[ka] = 1
Loop npass = 3: (ka,kb) = (7,10)
for(j ..) -> jma=4, jtel(.,z) = (1, 3) --> splitting: ka=7, ner[ka]=11 => (nzf, jtel2, jres, km) = (0, 1, 3, 8)
--> nclu = 6, kwan[ka] = 3
Loop npass = 3: (ka,kb) = (11,18)
for(j ..) -> jma=4, jtel(.,z) = (5, 3) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 3, 5, 14)
--> nclu = 7, kwan[ka] = 5
Loop npass = 3: (ka,kb) = (19,20)
for(j ..) -> jma=4, jtel(.,z) = (1, 1) --> splitting: ka=19, ner[ka]=7 => (nzf, jtel2, jres, km) = (1, 1, 1, 20)
--> nclu = 8, kwan[ka] = 1
L500; found kwan[1] = 5 >= 2 ==> Loop again
Loop npass = 4: (ka,kb) = (1,5)
for(j ..) -> jma=2, jtel(.,z) = (2, 3) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 3, 2, 4)
--> nclu = 9, kwan[ka] = 2
Loop npass = 4: (ka,kb) = (8,10)
for(j ..) -> jma=2, jtel(.,z) = (2, 3) --> _NO_ splitting
--> nclu = 9, kwan[ka] = -3
Loop npass = 4: (ka,kb) = (11,13)
for(j ..) -> jma=5, jtel(.,z) = (2, 1) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 1, 2, 12)
--> nclu = 10, kwan[ka] = 2
Loop npass = 4: (ka,kb) = (14,18)
for(j ..) -> jma=6, jtel(.,z) = (3, 2) --> splitting: ka=14, ner[ka]=5 => (nzf, jtel2, jres, km) = (0, 3, 2, 17)
--> nclu = 11, kwan[ka] = 2
L500; found kwan[1] = 3 >= 2 ==> Loop again
Loop npass = 5: (ka,kb) = (1,3)
for(j ..) -> jma=5, jtel(.,z) = (2, 1) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (0, 2, 1, 3)
--> nclu = 12, kwan[ka] = 1
Loop npass = 5: (ka,kb) = (4,5)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> splitting: ka=4, ner[ka]=2 => (nzf, jtel2, jres, km) = (0, 1, 1, 5)
--> nclu = 13, kwan[ka] = 1
Loop npass = 5: (ka,kb) = (12,13)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> _NO_ splitting
--> nclu = 13, kwan[ka] = -2
Loop npass = 5: (ka,kb) = (14,16)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> _NO_ splitting
--> nclu = 13, kwan[ka] = -3
Loop npass = 5: (ka,kb) = (17,18)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> _NO_ splitting
--> nclu = 13, kwan[ka] = -2
L500; found kwan[1] = 2 >= 2 ==> Loop again
Loop npass = 6: (ka,kb) = (1,2)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> _NO_ splitting
--> nclu = 13, kwan[ka] = -2
mona(x, ..) fit; x of dimension 20x6
Because of NA's, revised data:
war fly ver end gro hai
ant 0 0 0 0 1 0
bee 0 1 0 0 1 1
cat 1 0 1 0 0 1
cpl 0 0 0 0 0 1
chi 1 0 1 1 1 1
cow 1 0 1 0 1 1
duc 1 1 1 0 1 0
eag 1 1 1 1 0 0
ele 1 0 1 1 1 0
fly 0 1 0 0 0 0
fro 0 0 1 1 1 0
her 0 0 1 0 1 0
lio 1 0 1 1 1 1
liz 0 0 1 0 1 0
lob 0 0 0 0 1 0
man 1 0 1 1 1 1
rab 1 0 1 0 1 1
sal 0 0 1 0 1 0
spi 0 0 0 1 1 1
wha 1 0 1 1 1 0
Order of objects:
[1] ant lob cpl bee fly spi fro her liz sal cat cow rab chi lio man ele wha duc
[20] eag
Variable used:
[1] NULL gro fly gro end ver end NULL NULL war gro NULL end NULL NULL
[16] hai NULL fly end
Separation step:
[1] 0 5 4 5 3 2 3 0 0 1 4 0 3 0 0 4 0 2 3
Available components:
[1] "data" "hasNA" "order" "variable" "step" "order.lab"
[7] "call"
seed = 15
Loop npass = 1: (ka,kb) = (1,20)
for(j ..) -> jma=1, jtel(.,z) = (10, 10) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 10, 10, 11)
--> nclu = 2, kwan[ka] = 10
L500; found kwan[1] = 10 >= 2 ==> Loop again
Loop npass = 2: (ka,kb) = (1,10)
for(j ..) -> jma=3, jtel(.,z) = (5, 5) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 5, 5, 6)
--> nclu = 3, kwan[ka] = 5
Loop npass = 2: (ka,kb) = (11,20)
for(j ..) -> jma=2, jtel(.,z) = (2, 8) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 8, 2, 19)
--> nclu = 4, kwan[ka] = 2
L500; found kwan[1] = 5 >= 2 ==> Loop again
Loop npass = 3: (ka,kb) = (1,5)
for(j ..) -> jma=2, jtel(.,z) = (2, 3) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 3, 2, 4)
--> nclu = 5, kwan[ka] = 2
Loop npass = 3: (ka,kb) = (6,10)
for(j ..) -> jma=4, jtel(.,z) = (4, 1) --> splitting: ka=6, ner[ka]=11 => (nzf, jtel2, jres, km) = (0, 4, 1, 10)
--> nclu = 6, kwan[ka] = 1
Loop npass = 3: (ka,kb) = (11,18)
for(j ..) -> jma=4, jtel(.,z) = (5, 3) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 3, 5, 14)
--> nclu = 7, kwan[ka] = 5
Loop npass = 3: (ka,kb) = (19,20)
for(j ..) -> jma=4, jtel(.,z) = (1, 1) --> splitting: ka=19, ner[ka]=7 => (nzf, jtel2, jres, km) = (1, 1, 1, 20)
--> nclu = 8, kwan[ka] = 1
L500; found kwan[1] = 3 >= 2 ==> Loop again
Loop npass = 4: (ka,kb) = (1,3)
for(j ..) -> jma=5, jtel(.,z) = (1, 2) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (0, 1, 2, 2)
--> nclu = 9, kwan[ka] = 2
Loop npass = 4: (ka,kb) = (4,5)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> splitting: ka=4, ner[ka]=2 => (nzf, jtel2, jres, km) = (0, 1, 1, 5)
--> nclu = 10, kwan[ka] = 1
Loop npass = 4: (ka,kb) = (6,9)
for(j ..) -> jma=5, jtel(.,z) = (1, 3) --> splitting: ka=6, ner[ka]=11 => (nzf, jtel2, jres, km) = (1, 3, 1, 9)
--> nclu = 11, kwan[ka] = 1
Loop npass = 4: (ka,kb) = (11,13)
for(j ..) -> jma=5, jtel(.,z) = (1, 2) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 2, 1, 13)
--> nclu = 12, kwan[ka] = 1
Loop npass = 4: (ka,kb) = (14,18)
for(j ..) -> jma=5, jtel(.,z) = (4, 1) --> splitting: ka=14, ner[ka]=5 => (nzf, jtel2, jres, km) = (0, 4, 1, 18)
--> nclu = 13, kwan[ka] = 1
L500; found kwan[2] = 2 >= 2 ==> Loop again
Loop npass = 5: (ka,kb) = (2,3)
for(j ..) -> jma=5, jtel(.,z) = (4, 1) --> _NO_ splitting
--> nclu = 13, kwan[ka] = -2
Loop npass = 5: (ka,kb) = (6,8)
for(j ..) -> jma=6, jtel(.,z) = (1, 2) --> splitting: ka=6, ner[ka]=11 => (nzf, jtel2, jres, km) = (1, 2, 1, 8)
--> nclu = 14, kwan[ka] = 1
Loop npass = 5: (ka,kb) = (11,12)
for(j ..) -> jma=6, jtel(.,z) = (1, 2) --> _NO_ splitting
--> nclu = 14, kwan[ka] = -2
Loop npass = 5: (ka,kb) = (14,17)
for(j ..) -> jma=6, jtel(.,z) = (3, 1) --> splitting: ka=14, ner[ka]=5 => (nzf, jtel2, jres, km) = (0, 3, 1, 17)
--> nclu = 15, kwan[ka] = 1
L500; found kwan[6] = 2 >= 2 ==> Loop again
Loop npass = 6: (ka,kb) = (6,7)
for(j ..) -> jma=6, jtel(.,z) = (3, 1) --> _NO_ splitting
--> nclu = 15, kwan[ka] = -2
Loop npass = 6: (ka,kb) = (14,16)
for(j ..) -> jma=6, jtel(.,z) = (3, 1) --> _NO_ splitting
--> nclu = 15, kwan[ka] = -3
mona(x, ..) fit; x of dimension 20x6
Because of NA's, revised data:
war fly ver end gro hai
ant 0 0 0 0 1 0
bee 0 1 0 0 1 1
cat 1 0 1 0 0 1
cpl 0 0 0 0 0 1
chi 1 0 1 1 1 1
cow 1 0 1 0 0 1
duc 1 1 1 0 1 0
eag 1 1 1 1 0 0
ele 1 0 1 1 1 1
fly 0 1 0 0 0 0
fro 0 0 1 1 0 0
her 0 0 1 1 1 0
lio 1 0 1 1 0 1
liz 0 0 1 0 0 0
lob 0 0 0 0 0 1
man 1 0 1 1 1 1
rab 1 0 1 0 1 1
sal 0 0 1 1 0 0
spi 0 0 1 1 0 1
wha 1 0 1 1 1 0
Order of objects:
[1] ant cpl lob bee fly fro sal spi her liz cat cow rab chi ele man wha lio duc
[20] eag
Variable used:
[1] gro NULL fly gro ver NULL hai gro end war NULL gro end NULL NULL
[16] hai gro fly end
Separation step:
[1] 4 0 3 4 2 0 5 4 3 1 0 4 3 0 0 5 4 2 3
Available components:
[1] "data" "hasNA" "order" "variable" "step" "order.lab"
[7] "call"
seed = 16
Loop npass = 1: (ka,kb) = (1,20)
for(j ..) -> jma=3, jtel(.,z) = (14, 6) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 6, 14, 7)
--> nclu = 2, kwan[ka] = 14
L500; found kwan[1] = 6 >= 2 ==> Loop again
Loop npass = 2: (ka,kb) = (1,6)
for(j ..) -> jma=2, jtel(.,z) = (2, 4) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 4, 2, 5)
--> nclu = 3, kwan[ka] = 2
Loop npass = 2: (ka,kb) = (7,20)
for(j ..) -> jma=1, jtel(.,z) = (11, 3) --> splitting: ka=7, ner[ka]=3 => (nzf, jtel2, jres, km) = (0, 11, 3, 18)
--> nclu = 4, kwan[ka] = 3
L500; found kwan[1] = 4 >= 2 ==> Loop again
Loop npass = 3: (ka,kb) = (1,4)
for(j ..) -> jma=5, jtel(.,z) = (1, 3) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (0, 1, 3, 2)
--> nclu = 5, kwan[ka] = 3
Loop npass = 3: (ka,kb) = (5,6)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> splitting: ka=5, ner[ka]=2 => (nzf, jtel2, jres, km) = (0, 1, 1, 6)
--> nclu = 6, kwan[ka] = 1
Loop npass = 3: (ka,kb) = (7,17)
for(j ..) -> jma=6, jtel(.,z) = (6, 5) --> splitting: ka=7, ner[ka]=3 => (nzf, jtel2, jres, km) = (0, 6, 5, 13)
--> nclu = 7, kwan[ka] = 5
Loop npass = 3: (ka,kb) = (18,20)
for(j ..) -> jma=4, jtel(.,z) = (1, 2) --> splitting: ka=18, ner[ka]=11 => (nzf, jtel2, jres, km) = (0, 1, 2, 19)
--> nclu = 8, kwan[ka] = 2
L500; found kwan[2] = 3 >= 2 ==> Loop again
Loop npass = 4: (ka,kb) = (2,4)
for(j ..) -> jma=6, jtel(.,z) = (2, 1) --> splitting: ka=2, ner[ka]=4 => (nzf, jtel2, jres, km) = (0, 2, 1, 4)
--> nclu = 9, kwan[ka] = 1
Loop npass = 4: (ka,kb) = (7,12)
for(j ..) -> jma=4, jtel(.,z) = (3, 3) --> splitting: ka=7, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 3, 3, 10)
--> nclu = 10, kwan[ka] = 3
Loop npass = 4: (ka,kb) = (13,17)
for(j ..) -> jma=2, jtel(.,z) = (2, 3) --> splitting: ka=13, ner[ka]=7 => (nzf, jtel2, jres, km) = (0, 2, 3, 15)
--> nclu = 11, kwan[ka] = 3
Loop npass = 4: (ka,kb) = (19,20)
for(j ..) -> jma=2, jtel(.,z) = (2, 3) --> _NO_ splitting
--> nclu = 11, kwan[ka] = -2
L500; found kwan[2] = 2 >= 2 ==> Loop again
Loop npass = 5: (ka,kb) = (2,3)
for(j ..) -> jma=2, jtel(.,z) = (2, 3) --> _NO_ splitting
--> nclu = 11, kwan[ka] = -2
Loop npass = 5: (ka,kb) = (7,9)
for(j ..) -> jma=5, jtel(.,z) = (2, 1) --> splitting: ka=7, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 1, 2, 8)
--> nclu = 12, kwan[ka] = 2
Loop npass = 5: (ka,kb) = (10,12)
for(j ..) -> jma=5, jtel(.,z) = (2, 1) --> _NO_ splitting
--> nclu = 12, kwan[ka] = -3
Loop npass = 5: (ka,kb) = (13,14)
for(j ..) -> jma=4, jtel(.,z) = (1, 1) --> splitting: ka=13, ner[ka]=7 => (nzf, jtel2, jres, km) = (1, 1, 1, 14)
--> nclu = 13, kwan[ka] = 1
Loop npass = 5: (ka,kb) = (15,17)
for(j ..) -> jma=4, jtel(.,z) = (2, 1) --> splitting: ka=15, ner[ka]=9 => (nzf, jtel2, jres, km) = (0, 2, 1, 17)
--> nclu = 14, kwan[ka] = 1
L500; found kwan[8] = 2 >= 2 ==> Loop again
Loop npass = 6: (ka,kb) = (8,9)
for(j ..) -> jma=4, jtel(.,z) = (2, 1) --> _NO_ splitting
--> nclu = 14, kwan[ka] = -2
Loop npass = 6: (ka,kb) = (15,16)
for(j ..) -> jma=4, jtel(.,z) = (2, 1) --> _NO_ splitting
--> nclu = 14, kwan[ka] = -2
mona(x, ..) fit; x of dimension 20x6
Because of NA's, revised data:
war fly ver end gro hai
ant 0 0 0 0 1 0
bee 0 1 0 0 1 1
cat 1 0 1 0 0 1
cpl 0 0 0 0 0 1
chi 1 0 1 1 1 1
cow 1 0 1 0 1 1
duc 1 1 1 0 1 0
eag 1 1 1 1 0 0
ele 1 0 1 1 1 0
fly 0 1 0 0 0 0
fro 0 0 1 1 1 0
her 0 0 1 0 1 0
lio 1 0 1 1 1 1
liz 1 0 1 0 0 0
lob 0 0 0 0 0 0
man 1 0 1 1 1 1
rab 1 0 1 0 1 1
sal 0 0 1 0 1 0
spi 0 0 0 0 0 1
wha 1 0 1 1 1 0
Order of objects:
[1] ant cpl spi lob bee fly cat cow rab chi lio man duc eag ele wha liz fro her
[20] sal
Variable used:
[1] gro NULL hai fly gro ver gro NULL end NULL NULL hai end fly NULL
[16] end war end NULL
Separation step:
[1] 3 0 4 2 3 1 5 0 4 0 0 3 5 4 0 5 2 3 0
Available components:
[1] "data" "hasNA" "order" "variable" "step" "order.lab"
[7] "call"
seed = 17
Error in mona(ani.N2, trace = TRUE) :
No clustering performed, all variables have at least one missing value.
seed = 18
Loop npass = 1: (ka,kb) = (1,20)
for(j ..) -> jma=3, jtel(.,z) = (14, 6) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 6, 14, 7)
--> nclu = 2, kwan[ka] = 14
L500; found kwan[1] = 6 >= 2 ==> Loop again
Loop npass = 2: (ka,kb) = (1,6)
for(j ..) -> jma=2, jtel(.,z) = (3, 3) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (0, 3, 3, 4)
--> nclu = 3, kwan[ka] = 3
Loop npass = 2: (ka,kb) = (7,20)
for(j ..) -> jma=6, jtel(.,z) = (6, 8) --> splitting: ka=7, ner[ka]=3 => (nzf, jtel2, jres, km) = (0, 6, 8, 13)
--> nclu = 4, kwan[ka] = 8
L500; found kwan[1] = 3 >= 2 ==> Loop again
Loop npass = 3: (ka,kb) = (1,3)
for(j ..) -> jma=5, jtel(.,z) = (2, 1) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (0, 2, 1, 3)
--> nclu = 5, kwan[ka] = 1
Loop npass = 3: (ka,kb) = (4,6)
for(j ..) -> jma=6, jtel(.,z) = (2, 1) --> splitting: ka=4, ner[ka]=4 => (nzf, jtel2, jres, km) = (0, 2, 1, 6)
--> nclu = 6, kwan[ka] = 1
Loop npass = 3: (ka,kb) = (7,12)
for(j ..) -> jma=4, jtel(.,z) = (3, 3) --> splitting: ka=7, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 3, 3, 10)
--> nclu = 7, kwan[ka] = 3
Loop npass = 3: (ka,kb) = (13,20)
for(j ..) -> jma=1, jtel(.,z) = (4, 4) --> splitting: ka=13, ner[ka]=7 => (nzf, jtel2, jres, km) = (0, 4, 4, 17)
--> nclu = 8, kwan[ka] = 4
L500; found kwan[1] = 2 >= 2 ==> Loop again
Loop npass = 4: (ka,kb) = (1,2)
for(j ..) -> jma=6, jtel(.,z) = (1, 1) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 1, 1, 2)
--> nclu = 9, kwan[ka] = 1
Loop npass = 4: (ka,kb) = (4,5)
for(j ..) -> jma=6, jtel(.,z) = (1, 1) --> _NO_ splitting
--> nclu = 9, kwan[ka] = -2
Loop npass = 4: (ka,kb) = (7,9)
for(j ..) -> jma=5, jtel(.,z) = (2, 1) --> splitting: ka=7, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 1, 2, 8)
--> nclu = 10, kwan[ka] = 2
Loop npass = 4: (ka,kb) = (10,12)
for(j ..) -> jma=5, jtel(.,z) = (2, 1) --> _NO_ splitting
--> nclu = 10, kwan[ka] = -3
Loop npass = 4: (ka,kb) = (13,16)
for(j ..) -> jma=2, jtel(.,z) = (2, 2) --> splitting: ka=13, ner[ka]=7 => (nzf, jtel2, jres, km) = (0, 2, 2, 15)
--> nclu = 11, kwan[ka] = 2
Loop npass = 4: (ka,kb) = (17,20)
for(j ..) -> jma=4, jtel(.,z) = (2, 2) --> splitting: ka=17, ner[ka]=11 => (nzf, jtel2, jres, km) = (0, 2, 2, 19)
--> nclu = 12, kwan[ka] = 2
L500; found kwan[8] = 2 >= 2 ==> Loop again
Loop npass = 5: (ka,kb) = (8,9)
for(j ..) -> jma=4, jtel(.,z) = (2, 2) --> _NO_ splitting
--> nclu = 12, kwan[ka] = -2
Loop npass = 5: (ka,kb) = (13,14)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> splitting: ka=13, ner[ka]=7 => (nzf, jtel2, jres, km) = (0, 1, 1, 14)
--> nclu = 13, kwan[ka] = 1
Loop npass = 5: (ka,kb) = (15,16)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> _NO_ splitting
--> nclu = 13, kwan[ka] = -2
Loop npass = 5: (ka,kb) = (17,18)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> splitting: ka=17, ner[ka]=11 => (nzf, jtel2, jres, km) = (0, 1, 1, 18)
--> nclu = 14, kwan[ka] = 1
Loop npass = 5: (ka,kb) = (19,20)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> _NO_ splitting
--> nclu = 14, kwan[ka] = -2
mona(x, ..) fit; x of dimension 20x6
Because of NA's, revised data:
war fly ver end gro hai
ant 0 1 0 0 1 0
bee 0 1 0 0 1 1
cat 1 0 1 0 0 1
cpl 0 0 0 0 0 1
chi 1 0 1 1 1 1
cow 1 0 1 0 1 1
duc 1 1 1 1 1 0
eag 1 1 1 1 0 0
ele 1 0 1 1 1 0
fly 0 1 0 0 0 0
fro 0 0 1 1 1 0
her 0 0 1 0 1 0
lio 1 0 1 1 1 1
liz 0 0 1 1 0 0
lob 0 0 0 0 0 0
man 1 0 1 1 1 1
rab 1 0 1 0 1 1
sal 0 0 1 0 1 0
spi 0 0 0 0 0 1
wha 1 0 1 1 1 0
Order of objects:
[1] ant bee fly cpl spi lob cat cow rab chi lio man duc eag ele wha fro liz her
[20] sal
Variable used:
[1] hai gro fly NULL hai ver gro NULL end NULL NULL hai gro fly NULL
[16] war gro end NULL
Separation step:
[1] 4 3 2 0 3 1 4 0 3 0 0 2 5 4 0 3 5 4 0
Available components:
[1] "data" "hasNA" "order" "variable" "step" "order.lab"
[7] "call"
seed = 19
Loop npass = 1: (ka,kb) = (1,20)
for(j ..) -> jma=1, jtel(.,z) = (10, 10) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 10, 10, 11)
--> nclu = 2, kwan[ka] = 10
L500; found kwan[1] = 10 >= 2 ==> Loop again
Loop npass = 2: (ka,kb) = (1,10)
for(j ..) -> jma=3, jtel(.,z) = (3, 7) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 7, 3, 8)
--> nclu = 3, kwan[ka] = 3
Loop npass = 2: (ka,kb) = (11,20)
for(j ..) -> jma=6, jtel(.,z) = (6, 4) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (0, 6, 4, 17)
--> nclu = 4, kwan[ka] = 4
L500; found kwan[1] = 7 >= 2 ==> Loop again
Loop npass = 3: (ka,kb) = (1,7)
for(j ..) -> jma=5, jtel(.,z) = (2, 5) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (0, 2, 5, 3)
--> nclu = 5, kwan[ka] = 5
Loop npass = 3: (ka,kb) = (8,10)
for(j ..) -> jma=5, jtel(.,z) = (2, 5) --> _NO_ splitting
--> nclu = 5, kwan[ka] = -3
Loop npass = 3: (ka,kb) = (11,16)
for(j ..) -> jma=4, jtel(.,z) = (3, 3) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 3, 3, 14)
--> nclu = 6, kwan[ka] = 3
Loop npass = 3: (ka,kb) = (17,20)
for(j ..) -> jma=2, jtel(.,z) = (2, 2) --> splitting: ka=17, ner[ka]=7 => (nzf, jtel2, jres, km) = (0, 2, 2, 19)
--> nclu = 7, kwan[ka] = 2
L500; found kwan[1] = 2 >= 2 ==> Loop again
Loop npass = 4: (ka,kb) = (1,2)
for(j ..) -> jma=2, jtel(.,z) = (2, 2) --> _NO_ splitting
--> nclu = 7, kwan[ka] = -2
Loop npass = 4: (ka,kb) = (3,7)
for(j ..) -> jma=2, jtel(.,z) = (2, 3) --> splitting: ka=3, ner[ka]=2 => (nzf, jtel2, jres, km) = (0, 2, 3, 5)
--> nclu = 8, kwan[ka] = 3
Loop npass = 4: (ka,kb) = (11,13)
for(j ..) -> jma=2, jtel(.,z) = (2, 3) --> _NO_ splitting
--> nclu = 8, kwan[ka] = -3
Loop npass = 4: (ka,kb) = (14,16)
for(j ..) -> jma=2, jtel(.,z) = (2, 3) --> _NO_ splitting
--> nclu = 8, kwan[ka] = -3
Loop npass = 4: (ka,kb) = (17,18)
for(j ..) -> jma=4, jtel(.,z) = (1, 1) --> splitting: ka=17, ner[ka]=7 => (nzf, jtel2, jres, km) = (1, 1, 1, 18)
--> nclu = 9, kwan[ka] = 1
Loop npass = 4: (ka,kb) = (19,20)
for(j ..) -> jma=4, jtel(.,z) = (1, 1) --> _NO_ splitting
--> nclu = 9, kwan[ka] = -2
L500; found kwan[3] = 2 >= 2 ==> Loop again
Loop npass = 5: (ka,kb) = (3,4)
for(j ..) -> jma=6, jtel(.,z) = (1, 1) --> splitting: ka=3, ner[ka]=2 => (nzf, jtel2, jres, km) = (0, 1, 1, 4)
--> nclu = 10, kwan[ka] = 1
Loop npass = 5: (ka,kb) = (5,7)
for(j ..) -> jma=6, jtel(.,z) = (2, 1) --> splitting: ka=5, ner[ka]=4 => (nzf, jtel2, jres, km) = (0, 2, 1, 7)
--> nclu = 11, kwan[ka] = 1
L500; found kwan[5] = 2 >= 2 ==> Loop again
Loop npass = 6: (ka,kb) = (5,6)
for(j ..) -> jma=6, jtel(.,z) = (2, 1) --> _NO_ splitting
--> nclu = 11, kwan[ka] = -2
mona(x, ..) fit; x of dimension 20x6
Because of NA's, revised data:
war fly ver end gro hai
ant 0 0 0 0 1 0
bee 0 1 0 0 0 1
cat 1 0 1 0 1 1
cpl 0 0 0 0 0 1
chi 1 0 1 1 1 1
cow 1 0 1 0 1 1
duc 1 1 1 0 1 0
eag 1 1 1 1 0 0
ele 1 0 1 1 1 0
fly 0 1 0 0 0 0
fro 0 0 1 0 0 0
her 0 0 0 0 1 0
lio 1 0 1 1 1 1
liz 0 0 1 0 0 0
lob 0 0 0 0 0 0
man 1 0 1 1 1 1
rab 1 0 1 0 1 1
sal 0 0 1 0 0 0
spi 0 0 0 0 0 1
wha 1 0 1 1 1 0
Order of objects:
[1] ant her bee fly cpl spi lob fro liz sal cat cow rab chi lio man duc eag ele
[20] wha
Variable used:
[1] NULL gro hai fly NULL hai ver NULL NULL war NULL NULL end NULL NULL
[16] hai end fly NULL
Separation step:
[1] 0 3 5 4 0 5 2 0 0 1 0 0 3 0 0 2 4 3 0
Available components:
[1] "data" "hasNA" "order" "variable" "step" "order.lab"
[7] "call"
seed = 20
Loop npass = 1: (ka,kb) = (1,20)
for(j ..) -> jma=1, jtel(.,z) = (10, 10) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 10, 10, 11)
--> nclu = 2, kwan[ka] = 10
L500; found kwan[1] = 10 >= 2 ==> Loop again
Loop npass = 2: (ka,kb) = (1,10)
for(j ..) -> jma=4, jtel(.,z) = (2, 8) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 8, 2, 9)
--> nclu = 3, kwan[ka] = 2
Loop npass = 2: (ka,kb) = (11,20)
for(j ..) -> jma=6, jtel(.,z) = (7, 3) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (0, 7, 3, 18)
--> nclu = 4, kwan[ka] = 3
L500; found kwan[1] = 8 >= 2 ==> Loop again
Loop npass = 3: (ka,kb) = (1,8)
for(j ..) -> jma=6, jtel(.,z) = (2, 6) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (1, 6, 2, 7)
--> nclu = 5, kwan[ka] = 2
Loop npass = 3: (ka,kb) = (9,10)
for(j ..) -> jma=6, jtel(.,z) = (2, 6) --> _NO_ splitting
--> nclu = 5, kwan[ka] = -2
Loop npass = 3: (ka,kb) = (11,17)
for(j ..) -> jma=3, jtel(.,z) = (6, 1) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (0, 6, 1, 17)
--> nclu = 6, kwan[ka] = 1
Loop npass = 3: (ka,kb) = (18,20)
for(j ..) -> jma=2, jtel(.,z) = (2, 1) --> splitting: ka=18, ner[ka]=7 => (nzf, jtel2, jres, km) = (0, 2, 1, 20)
--> nclu = 7, kwan[ka] = 1
L500; found kwan[1] = 6 >= 2 ==> Loop again
Loop npass = 4: (ka,kb) = (1,6)
for(j ..) -> jma=2, jtel(.,z) = (2, 4) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (0, 2, 4, 3)
--> nclu = 8, kwan[ka] = 4
Loop npass = 4: (ka,kb) = (7,8)
for(j ..) -> jma=2, jtel(.,z) = (1, 1) --> splitting: ka=7, ner[ka]=2 => (nzf, jtel2, jres, km) = (0, 1, 1, 8)
--> nclu = 9, kwan[ka] = 1
Loop npass = 4: (ka,kb) = (11,16)
for(j ..) -> jma=4, jtel(.,z) = (2, 4) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 4, 2, 15)
--> nclu = 10, kwan[ka] = 2
Loop npass = 4: (ka,kb) = (18,19)
for(j ..) -> jma=4, jtel(.,z) = (1, 1) --> splitting: ka=18, ner[ka]=7 => (nzf, jtel2, jres, km) = (1, 1, 1, 19)
--> nclu = 11, kwan[ka] = 1
L500; found kwan[1] = 2 >= 2 ==> Loop again
Loop npass = 5: (ka,kb) = (1,2)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> splitting: ka=1, ner[ka]=1 => (nzf, jtel2, jres, km) = (0, 1, 1, 2)
--> nclu = 12, kwan[ka] = 1
Loop npass = 5: (ka,kb) = (3,6)
for(j ..) -> jma=3, jtel(.,z) = (2, 2) --> splitting: ka=3, ner[ka]=12 => (nzf, jtel2, jres, km) = (0, 2, 2, 5)
--> nclu = 13, kwan[ka] = 2
Loop npass = 5: (ka,kb) = (11,14)
for(j ..) -> jma=5, jtel(.,z) = (2, 2) --> splitting: ka=11, ner[ka]=3 => (nzf, jtel2, jres, km) = (1, 2, 2, 13)
--> nclu = 14, kwan[ka] = 2
Loop npass = 5: (ka,kb) = (15,16)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> splitting: ka=15, ner[ka]=5 => (nzf, jtel2, jres, km) = (0, 1, 1, 16)
--> nclu = 15, kwan[ka] = 1
L500; found kwan[3] = 2 >= 2 ==> Loop again
Loop npass = 6: (ka,kb) = (3,4)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> splitting: ka=3, ner[ka]=12 => (nzf, jtel2, jres, km) = (0, 1, 1, 4)
--> nclu = 16, kwan[ka] = 1
Loop npass = 6: (ka,kb) = (5,6)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> _NO_ splitting
--> nclu = 16, kwan[ka] = -2
Loop npass = 6: (ka,kb) = (11,12)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> _NO_ splitting
--> nclu = 16, kwan[ka] = -2
Loop npass = 6: (ka,kb) = (13,14)
for(j ..) -> jma=5, jtel(.,z) = (1, 1) --> _NO_ splitting
--> nclu = 16, kwan[ka] = -2
mona(x, ..) fit; x of dimension 20x6
Because of NA's, revised data:
war fly ver end gro hai
ant 0 1 0 0 1 0
bee 0 1 1 0 1 1
cat 1 0 1 0 0 1
cpl 1 0 0 0 0 1
chi 1 0 1 1 1 1
cow 1 0 1 0 0 1
duc 1 1 1 0 1 0
eag 1 1 1 1 0 0
ele 0 0 1 1 1 0
fly 0 1 0 0 0 0
fro 0 0 1 1 1 0
her 0 0 1 0 1 0
lio 1 0 1 0 1 1
liz 0 0 1 0 0 0
lob 0 0 0 0 1 0
man 1 0 1 1 0 1
rab 1 0 1 0 1 1
sal 0 0 0 0 1 0
spi 0 0 0 0 0 1
wha 1 0 1 1 1 0
Order of objects:
[1] ant fly her liz lob sal bee spi ele fro cat cow lio rab chi man cpl duc eag
[20] wha
Variable used:
[1] gro fly gro ver NULL hai fly end NULL war NULL gro NULL end gro
[16] ver hai end fly
Separation step:
[1] 5 4 6 5 0 3 4 2 0 1 0 5 0 4 5 3 2 4 3
Available components:
[1] "data" "hasNA" "order" "variable" "step" "order.lab"
[7] "call"
>
> ## Check all "too many NA" and other illegal cases
> ani.NA <- animals; ani.NA[4,] <- NA
> aniNA <- within(animals, { end[2:9] <- NA })
> aniN2 <- animals; aniN2[cbind(1:6, c(3, 1, 4:6, 2))] <- NA
> ani.non2 <- within(animals, end[7] <- 3 )
> ani.idNA <- within(animals, end[!is.na(end)] <- 1 )
> ## use tools::assertError() {once you don't use *.Rout.save anymore}
> try( mona(ani.NA) )
Error in mona(ani.NA) :
No clustering performed, an object was found with all values missing.
> try( mona(aniNA) )
Error in mona(aniNA) :
No clustering performed, found variable with more than half values missing.
> try( mona(aniN2) )
Error in mona(aniN2) :
No clustering performed, all variables have at least one missing value.
> try( mona(ani.non2) )
Error in mona(ani.non2) :
All variables must be binary (e.g., a factor with 2 levels, both present).
> try( mona(ani.idNA) )
Error in mona(ani.idNA) :
All variables must be binary (e.g., a factor with 2 levels, both present).
>
> if(require(MASS, lib.loc=.Library)) withAutoprint({
+ set.seed(253)
+ n <- 512; p <- 3
+ Sig <- diag(p); Sig[] <- 0.8 ^ abs(col(Sig) - row(Sig))
+ x3 <- mvrnorm(n, rep(0,p), Sig) >= 0
+ x <- cbind(x3, rbinom(n, size=1, prob = 1/2))
+
+ sapply(as.data.frame(x), table)
+
+ mx <- mona(x)
+ str(mx)
+ lapply(mx[c(1,3,4)], table)
+ mx # (too much, but still)
+ })
Loading required package: MASS
> set.seed(253)
> n <- 512
> p <- 3
> Sig <- diag(p)
> Sig[] <- 0.8^abs(col(Sig) - row(Sig))
> x3 <- mvrnorm(n, rep(0, p), Sig) >= 0
> x <- cbind(x3, rbinom(n, size = 1, prob = 1/2))
> sapply(as.data.frame(x), table)
V1 V2 V3 V4
0 250 252 256 280
1 262 260 256 232
> mx <- mona(x)
> str(mx)
List of 7
$ data : int [1:512, 1:4] 0 0 1 1 0 0 0 1 1 1 ...
$ hasNA : logi FALSE
$ order : int [1:512] 1 5 7 11 15 25 34 35 41 42 ...
$ variable : int [1:511] 0 0 0 0 0 0 0 0 0 0 ...
$ step : int [1:511] 0 0 0 0 0 0 0 0 0 0 ...
$ order.lab: NULL
$ call : language mona(x = x)
- attr(*, "class")= chr "mona"
> lapply(mx[c(1, 3, 4)], table)
$data
0 1
1038 1010
$order
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 57 58 59 60
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
81 82 83 84 85 86 87 88 89 90 91 92 93 94 95 96 97 98 99 100
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
101 102 103 104 105 106 107 108 109 110 111 112 113 114 115 116 117 118 119 120
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
121 122 123 124 125 126 127 128 129 130 131 132 133 134 135 136 137 138 139 140
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
141 142 143 144 145 146 147 148 149 150 151 152 153 154 155 156 157 158 159 160
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
161 162 163 164 165 166 167 168 169 170 171 172 173 174 175 176 177 178 179 180
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
181 182 183 184 185 186 187 188 189 190 191 192 193 194 195 196 197 198 199 200
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
201 202 203 204 205 206 207 208 209 210 211 212 213 214 215 216 217 218 219 220
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
221 222 223 224 225 226 227 228 229 230 231 232 233 234 235 236 237 238 239 240
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
241 242 243 244 245 246 247 248 249 250 251 252 253 254 255 256 257 258 259 260
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
261 262 263 264 265 266 267 268 269 270 271 272 273 274 275 276 277 278 279 280
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
281 282 283 284 285 286 287 288 289 290 291 292 293 294 295 296 297 298 299 300
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
301 302 303 304 305 306 307 308 309 310 311 312 313 314 315 316 317 318 319 320
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
321 322 323 324 325 326 327 328 329 330 331 332 333 334 335 336 337 338 339 340
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
341 342 343 344 345 346 347 348 349 350 351 352 353 354 355 356 357 358 359 360
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
361 362 363 364 365 366 367 368 369 370 371 372 373 374 375 376 377 378 379 380
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
381 382 383 384 385 386 387 388 389 390 391 392 393 394 395 396 397 398 399 400
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
401 402 403 404 405 406 407 408 409 410 411 412 413 414 415 416 417 418 419 420
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
421 422 423 424 425 426 427 428 429 430 431 432 433 434 435 436 437 438 439 440
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
441 442 443 444 445 446 447 448 449 450 451 452 453 454 455 456 457 458 459 460
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
461 462 463 464 465 466 467 468 469 470 471 472 473 474 475 476 477 478 479 480
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
481 482 483 484 485 486 487 488 489 490 491 492 493 494 495 496 497 498 499 500
1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1 1
501 502 503 504 505 506 507 508 509 510 511 512
1 1 1 1 1 1 1 1 1 1 1 1
$variable
0 1 2 3 4
496 2 1 4 8
> mx
mona(x, ..) fit; x of dimension 512x4
Order of objects:
[1] 1 5 7 11 15 25 34 35 41 42 55 58 60 66 94 111 123 141
[19] 142 152 157 161 162 163 167 172 174 178 190 194 199 200 204 205 206 218
[37] 222 231 236 239 242 243 246 249 264 267 275 276 284 289 291 297 303 305
[55] 308 316 326 333 335 336 343 356 369 370 381 386 387 400 405 406 414 433
[73] 434 438 446 447 453 462 498 20 23 28 30 31 40 70 71 73 78 79
[91] 80 91 97 99 109 114 121 122 124 125 130 136 146 149 153 168 171 175
[109] 184 185 196 198 208 210 216 224 227 254 258 269 271 273 274 290 293 294
[127] 299 310 313 319 332 339 354 358 360 367 372 376 384 392 394 398 399 402
[145] 412 418 419 428 429 431 436 440 444 445 449 451 455 459 460 469 472 483
[163] 488 493 500 506 13 64 104 189 212 257 278 334 341 365 389 396 411 448
[181] 471 487 503 27 92 102 127 202 237 255 265 286 296 342 416 495 509 10
[199] 54 139 177 306 380 391 426 474 16 22 138 188 195 234 256 272 328 423
[217] 18 19 29 67 72 129 135 183 266 374 379 477 482 504 44 49 159 173
[235] 193 226 241 321 345 362 375 397 430 456 484 486 490 491 492 496 507 510
[253] 2 38 48 56 74 110 151 164 187 201 215 270 283 309 318 323 348 350
[271] 352 363 437 450 466 478 480 505 6 95 100 116 233 261 277 279 288 378
[289] 508 21 53 61 87 112 211 371 457 101 126 145 228 244 304 395 424 3
[307] 17 26 32 46 52 62 63 65 75 76 81 85 86 88 89 98 108 117
[325] 128 131 134 140 144 154 156 158 166 170 180 191 192 197 209 214 217 220
[343] 221 225 229 232 240 247 251 259 263 268 287 301 311 314 317 322 325 331
[361] 337 344 346 349 357 364 366 368 373 388 390 403 404 417 420 421 425 427
[379] 435 441 442 443 464 465 467 468 470 481 485 489 494 502 511 512 14 24
[397] 33 36 37 39 45 50 51 57 59 68 69 83 93 96 103 105 113 115
[415] 118 120 132 133 137 148 150 155 165 169 176 179 182 203 207 223 230 235
[433] 238 245 248 252 260 262 281 282 292 295 298 300 307 315 320 324 329 330
[451] 340 351 353 361 377 382 383 385 408 409 410 413 415 422 439 452 454 461
[469] 463 473 475 497 499 501 4 8 9 12 43 47 82 107 143 181 186 280
[487] 327 338 347 355 407 432 458 476 479 77 84 90 106 119 147 160 213 219
[505] 250 253 285 302 312 359 393 401
Variable used:
[1] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0
[223] 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0
[260] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0
[297] 4 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[334] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[371] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0
[408] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[445] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0
[482] 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Separation step:
[1] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[38] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[75] 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[112] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[149] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0
[186] 0 0 0 0 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0
[223] 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0
[260] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0
[297] 4 0 0 0 0 0 0 0 2 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[334] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[371] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0
[408] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
[445] 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 3 0 0 0 0 0 0 0
[482] 0 0 0 0 0 0 0 0 0 0 0 0 0 4 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0
Available components:
[1] "data" "hasNA" "order" "variable" "step" "order.lab"
[7] "call"
>
>
> try(
+ mona(cbind(1:0), trace=2)
+ ) -> et ## error: need p >= 2
Error in mona(cbind(1:0), trace = 2) :
mona() needs at least p >= 2 variables (in current implementation)
> stopifnot(inherits(et, "try-error"),
+ grepl("needs at least p >= 2", et))
> ## in the past, gave
> ## Loop npass = 1: (ka,kb) = (1,2)
> ## for(j ..) -> jma=1, jtel(.,z) = (17952088, 8) --> splitting: (nel; jres, ka, km) = (1; -17952086, 1, 17952089)
> ## inner loop: for(k in ka:km) use ner[k]: 1 2 2 2 2 2 2 2 2 2 ..... [infinite loop]
>
> proc.time()
user system elapsed
0.294 0.053 0.348