248 lines
8.1 KiB
R
248 lines
8.1 KiB
R
#### Testing cbind() & rbind() -- based on cbind2() & rbind2()
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## (where using 'cBind()' and 'rBind()' in Matrix)
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## for R_DEFAULT_PACKAGES=NULL :
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library(utils)
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library(Matrix)
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source(system.file("test-tools.R", package = "Matrix"))# identical3() etc
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### --- Dense Matrices ---
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m1 <- m2 <- m <- matrix(1:12, 3,4)
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dimnames(m2) <- list(LETTERS[1:3],
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letters[1:4])
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dimnames(m1) <- list(NULL,letters[1:4])
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M <- Matrix(m)
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M1 <- Matrix(m1)
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M2 <- Matrix(m2)
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stopifnot(
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identical3(cbind ( M, 10*M),
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show(cbind2( M, 10*M)),
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Matrix(cbind ( m, 10*m)))
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,
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identical3(cbind (M1, 100+M1),
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show(cbind2(M1, 100+M1)),
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Matrix(cbind (m1, 100+m1)))
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,
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identical3(cbind (M1, 10*M2),
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show(cbind2(M1, 10*M2)),
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Matrix(cbind (m1, 10*m2)))
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,
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identical3(cbind (M2, M1+M2),
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show(cbind2(M2, M1+M2)),
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Matrix(cbind (m2, m1+m2)))
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,
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identical(colnames(show(cbind(M1, MM = -1))),
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c(colnames(M1), "MM"))
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,
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identical3(rbind ( M, 10*M),
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show(rbind2( M, 10*M)),
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Matrix(rbind ( m, 10*m)))
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,
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identical3(rbind (M2, M1+M2),
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show(rbind2(M2, M1+M2)),
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Matrix(rbind (m2, m1+m2)))
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,
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Qidentical(show (rbind(R1 = 10:11, M1)),
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Matrix(rbind(R1 = 10:11, m1)), strictClass=FALSE)
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, TRUE)
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identical.or.eq <- function(x,y, tol=0, ...) {
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if(identical(x,y, ...))
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TRUE
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else if(isTRUE(aeq <- all.equal(x,y, tolerance = tol)))
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structure(TRUE, comment = "not identical")
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else aeq
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}
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identicalShow <- function(x,y, ...)
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if(!isTRUE(id <- identical.or.eq(x, y, ...))) cat(id,"\n")
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## Checking deparse.level { <==> example at end of ?cbind }:
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checkRN <- function(dd, B = rbind) {
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FN <- function(deparse.level)
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rownames(B(1:4, c=2,"a+"=10, dd, deparse.level=deparse.level))
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rn <- c("1:4", "c", "a+", "dd", "")
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isMatr <- (length(dim(dd)) == 2)
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id <- if(isMatr) 5 else 4
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identicalShow(rn[c(5,2:3, 5)], FN(deparse.level= 0)) # middle two names
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identicalShow(rn[c(5,2:3,id)], FN(deparse.level= 1)) # last shown if vector
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identicalShow(rn[c(1,2:3,id)], FN(deparse.level= 2)) # first shown; (last if vec.)
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}
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checkRN(10) # <==> ?cbind's ex
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checkRN(1:4)
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checkRN( rbind(c(0:1,0,0)))
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checkRN(Matrix(rbind(c(0:1,0,0)))) ## in R <= 3.4.1, from methods:::rbind bug :
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## Modes: character, NULL Lengths: 4, 0 target is character, current is NULL
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checkRN(10 , rbind)
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checkRN(1:4, rbind)
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checkRN( rbind(c(0:1,0,0)), rbind)
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checkRN(Matrix(rbind(c(0:1,0,0))), rbind)
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cbind(0, Matrix(0+0:1, 1,2), 3:2)# FIXME? should warn - as with matrix()
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as(rbind(0, Matrix(0+0:1, 1,2), 3:2),
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"sparseMatrix")
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cbind(M2, 10*M2[nrow(M2):1 ,])# keeps the rownames from the first
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(im <- cbind(I = 100, M))
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str(im)
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(mi <- cbind(M2, I = 1000))
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str(mi)
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(m1m <- cbind(M,I=100,M2))
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showProc.time()
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## lgeMatrix -- rbind2() had bug (in C code):
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is.lge <- function(M) isValid(M, "lgeMatrix")
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stopifnot(exprs = {
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is.lge(rbind(M2 > 0, M2 < 0)) # had Error in rbind2():
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## REAL() can only be applied to a 'numeric', not a 'logical'
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is.lge(rbind(M2 < 0, M2 > 0)) # ditto
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is.lge(rbind(Matrix(1:6 %% 3 != 0, 2,3), FALSE))
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is.lge(L <- rbind(Matrix(TRUE, 2,3), TRUE))
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all(L)
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is.lge(rbind(Matrix(TRUE, 2,3), FALSE))
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})
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### --- Diagonal / Sparse - had bugs
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D4 <- Diagonal(4)
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(D4T <- as(D4, "TsparseMatrix"))
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D4C <- as(D4T, "CsparseMatrix")
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c1 <- Matrix(0+0:3, 4, sparse=TRUE) ; r1 <- t(c1); r1
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d4 <- rbind(Diagonal(4), 0:3)
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m4 <- cbind(Diagonal(x=-1:2), 0:3)
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c4. <- cbind(Diagonal(4), c1)
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c.4 <- cbind(c1, Diagonal(4))
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r4. <- rbind(Diagonal(4), r1)
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r.4 <- rbind(r1, Diagonal(4))
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assert.EQ.mat(d4, rbind(diag(4), 0:3))
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assert.EQ.mat(m4, cbind(diag(-1:2), 0:3))
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stopifnot(identical(Matrix(cbind(diag(3),0)), cbind2(Diagonal(3),0)),
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is(d4, "sparseMatrix"), is(m4, "sparseMatrix"),
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identical(.tCRT(d4), cbind(Diagonal(4), 0:3)),
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identical(.tCRT(m4), rbind(Diagonal(x=-1:2), 0:3)))
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showProc.time()
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### --- Sparse Matrices ---
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identical4(cbind(diag(4), diag(4)),
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cbind(D4C, D4C),
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cbind(D4T, D4C),
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cbind(D4C, D4T))
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nr <- 4
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nc <- 6
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m. <- matrix(rep_len(c(0, 2:-1), nr * nc), nr, nc)
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M <- Matrix(m.)
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(mC <- as(M, "CsparseMatrix"))
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(mT <- as(M, "TsparseMatrix"))
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stopifnot(identical(mT, as(mC, "TsparseMatrix")),
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identical(mC, as(mT, "CsparseMatrix")))
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for(v in list(0, 2, 1:0))
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for(fnam in c("cbind", "rbind")) {
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cat(fnam,"(m, v=", deparse(v),"), class(m) :")
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FUN <- get(fnam)
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for(m in list(M, mC, mT)) {
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cat("", class(m),"")
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assert.EQ.mat(FUN(v, m), FUN(v, m.)) ; cat(",")
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assert.EQ.mat(FUN(m, v), FUN(m., v)) ; cat(".")
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}
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cat("\n")
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}
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showProc.time()
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cbind(0, mC); cbind(mC, 0)
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cbind(0, mT); cbind(mT, 2)
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cbind(diag(nr), mT)
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stopifnot(identical(t(cbind(diag(nr), mT)),
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rbind(diag(nr), t(mT))))
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(cc <- cbind(mC, 0,7,0, diag(nr), 0))
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stopifnot(identical3(cc,
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as(cbind(mT, 0, 7, 0, diag(nr), 0), "CsparseMatrix"),
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as(cbind( M, 0, 7, 0, diag(nr), 0), "CsparseMatrix")))
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cbind(mC, 1, 100*mC, 0, 0:2)
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cbind(mT, 1, 0, mT+10*mT, 0, 0:2)
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one <- 1
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zero <- 0
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dimnames(mC) <- dimnames(mT) <- list(LETTERS[1:4], letters[1:6])
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op <- options(sparse.colnames = TRUE)# show colnames in print :
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cbind(mC, one, 100*mC, zero, 0:2)
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cbind(mC, one, 100*mC, zero, 0:2, deparse.level=0)# no "zero", "one"
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cbind(mC, one, 100*mC, zero, 0:2, deparse.level=2)# even "0:2"
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cbind(mT, one, zero, mT+10*mT, zero, 0:2)
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## logical (sparse) - should remain logical :
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L5 <- Diagonal(n = 5, x = TRUE)
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v5 <- rep(x = c(FALSE,TRUE), length.out = ncol(L5))
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stopifnot(is(show(rbind(L5,v5)), "lsparseMatrix"),
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is(show(cbind(v5,L5)), "lsparseMatrix"),
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is(rbind(L5, 2* v5), "dsparseMatrix"),
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is(cbind(2* v5, L5), "dsparseMatrix"))
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## print() / show() of non-structural zeros:
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(m <- Matrix(c(0, 0, 2:0), 3, 5))
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(m2 <- cbind(m,m))
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(m4 <- rbind(m2,m2))
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diag(m4)
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for(i in 1:6) {
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m4[i, i ] <- i
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m4[i,i+1] <- 0
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}
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m4 ## now show some non-structural zeros:
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## Mixture of dense and sparse/diagonal -- used to fail, even in 1.0-0
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D5 <- Diagonal(x = 10*(1:5))
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(D5.1 <- cbind2(D5, 1))
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## "FIXME" in newer versions of R, do not need Matrix() here:
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s42 <- Matrix(z42 <- cbind2(rep(0:1,4), rep(1:0,4)),
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sparse=TRUE)
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(C86 <- rbind(1, 0, D5.1, 0))
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stopifnotValid(D5.1, "dgCMatrix")
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stopifnotValid(print(rbind2(Matrix(1:10, 2,5), D5)), "dgRMatrix")
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stopifnotValid(print(cbind2(Matrix(10:1, 5,2), D5.1)), "dgCMatrix")
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stopifnotValid(zz <- cbind2(z42, C86), "dgCMatrix")
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stopifnot(identical(zz, cbind2(s42, C86)))
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## Using "nMatrix"
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(m1 <- sparseMatrix(1:3, 1:3)) # ngCMatrix
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m2 <- sparseMatrix(1:3, 1:3, x = 1:3)
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stopifnotValid(c12 <- cbind(m1,m2), "dgCMatrix") # was "ngC.." because of cholmod_horzcat !
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stopifnotValid(c21 <- cbind(m2,m1), "dgCMatrix") # ditto
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stopifnotValid(r12 <- rbind(m1,m2), "dgCMatrix") # was "ngC.." because of cholmod_vertcat !
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stopifnotValid(r21 <- rbind(m2,m1), "dgCMatrix") # ditto
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d1 <- as(m1, "denseMatrix")
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d2 <- as(m2, "denseMatrix")
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stopifnotValid(cbind2(d2,d1), "dgeMatrix")
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stopifnotValid(cbind2(d1,d2), "dgeMatrix")## gave an error in Matrix 1.1-5
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stopifnotValid(rbind2(d2,d1), "dgeMatrix")
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stopifnotValid(rbind2(d1,d2), "dgeMatrix")## gave an error in Matrix 1.1-5
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## rbind2() / cbind2() mixing sparse/dense: used to "fail",
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## ------------------- then (in 'devel', ~ 2015-03): completely wrong
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S <- .sparseDiagonal(2)
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s <- diag(2)
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S9 <- rbind(S,0,0,S,0,NaN,0,0,0,2)## r/cbind2() failed to determine 'sparse' in Matrix <= 1.2-2
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s9 <- rbind(s,0,0,s,0,NaN,0,0,0,2)
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assert.EQ.mat(S9, s9)
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D <- Matrix(1:6, 3,2); d <- as(D, "matrix")
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T9 <- t(S9); t9 <- t(s9); T <- t(D); t <- t(d)
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stopifnot(identical(rbind (s9,d), rbind2(s9,d)),
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identical(rbind2(D,S9), t(cbind2(T,T9))),
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identical(rbind2(S9,D), t(cbind2(T9,T))))
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assert.EQ.mat(rbind2(S9,D), rbind2(s9,d))
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assert.EQ.mat(rbind2(D,S9), rbind2(d,s9))
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## now with cbind2() -- no problem!
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stopifnot(identical(cbind (t9,t), cbind2(t9,t)))
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assert.EQ.mat(cbind2(T9,T), cbind2(t9,t))
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assert.EQ.mat(cbind2(T,T9), cbind2(t,t9))
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options(op)
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showProc.time()
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