93 lines
4.0 KiB
R
93 lines
4.0 KiB
R
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library(survival)
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# This test is based on a user report that a 0/1 variable would not reset
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# to zero. It turned out to be a bug when data2 was not sorted
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baseline <- data.frame(idd=1:5, futime=c(20, 30, 40, 30, 20),
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status= c(0, 1, 0, 1, 0))
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tests <- data.frame(idd = c(2,3,3,3,4,4,5),
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date = c(25, -1, 15, 23, 17, 19, 14),
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onoff= c( 1, 1, 0, 1, 1, 0, 1))
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tests <- tests[c(7,2,6,3,4,1,5),] #scramble data2
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mydata <- tmerge(baseline, baseline, id=idd, death=event(futime, status))
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mydata <- tmerge(mydata, tests, id=idd, ondrug=tdc(date, onoff))
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all.equal(mydata$ondrug, c(NA, NA,1, 1,0,1, NA, 1,0, NA, 1))
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# Check out addition of a factor, character, and logical
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tests$ff <- factor(tests$onoff, 0:1, letters[4:5])
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tests$fchar <- as.character(tests$ff)
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tests$logic <- as.logical(tests$onoff)
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tests$num <- rep(1:3, length=nrow(tests))
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mydata <- tmerge(mydata, tests, id=idd, fgrp= tdc(date, ff),
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chgrp = tdc(date, fchar),
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options=list(tdcstart="new"))
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all.equal(mydata$fgrp,
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factor(c(3,3,2,2,1,2,3,2,1,3,2), labels=c("d", "e", "new")))
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all.equal(mydata$chgrp,
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c("d", "e", "new")[c(3,3,2,2,1,2,3,2,1,3,2)])
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mydat2 <- tmerge(mydata, tests, id=idd,
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logic1 = tdc(date, logic), logic2= event(date, logic))
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all.equal(mydat2$logic1, c(FALSE, TRUE, NA)[as.numeric(mydat2$fgrp)])
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all.equal(mydat2$logic2, c(FALSE, TRUE, FALSE, FALSE, TRUE, FALSE, TRUE,
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FALSE, FALSE, TRUE, FALSE))
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mydat3 <- tmerge(mydata, tests, id=idd,
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xx = tdc(date, num), options=list(tdcstart=5))
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all.equal(mydat3$xx, c(5,5,3,2,1,2,5,1,3,5,1))
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temp <- tmerge(mydata, tests, id=idd, xx=tdc(date, num, 5)) # alternate default
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all.equal(mydat3$xx, temp$xx)
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# Multiple chained calls.
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temp <- outer(cgd0$id, 100*0:6, "+")
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colnames(temp) <- paste0("x", 1:7) # add a time dependent covariate too
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test <- cbind(cgd0, temp)
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newcgd <- tmerge(data1=cgd0[, 1:13], data2=cgd0, id=id, tstop=futime)
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newcgd <- tmerge(newcgd, test, id=id, infect = event(etime1), xx=cumtdc(etime1, x1, 0))
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newcgd <- tmerge(newcgd, test, id=id, infect = event(etime2), xx=cumtdc(etime2, x2))
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newcgd <- tmerge(newcgd, test, id=id, infect = event(etime3), xx=cumtdc(etime3, x3))
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newcgd <- tmerge(newcgd, test, id=id, infect = event(etime4), xx=cumtdc(etime4, x4))
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newcgd <- tmerge(newcgd, test, id=id, infect = event(etime5), xx=cumtdc(etime5, x5))
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newcgd <- tmerge(newcgd, test, id=id, infect = event(etime6), xx=cumtdc(etime6, x6))
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newcgd <- tmerge(newcgd, test, id=id, infect = event(etime7), xx=cumtdc(etime7, x7))
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newcgd <- tmerge(newcgd, newcgd, id, enum=cumtdc(tstart))
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all.equal(dim(newcgd), c(203,18))
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all.equal(as.vector(table(newcgd$infect)), c(127, 76))
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temp <- with(newcgd, ifelse(enum==1, 0, id + (enum-2)*100))
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temp2 <- tapply(temp, newcgd$id, cumsum)
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all.equal(newcgd$xx, unlist(temp2), check.attributes=FALSE)
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tcount <- attr(newcgd, "tcount")
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all(tcount[,1:3] ==0) # no early, late, or gap
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# table with number of subjects who have etime1 < futime (row 1)
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# and etime1==futime (row 2)
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# the table command ignores the missings
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temp <- subset(cgd0, select=etime1:etime7)
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counts <- sapply(temp, function(x)
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as.vector(table(factor(x>= cgd0$futime, c(FALSE, TRUE)))))
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all(tcount[c(1,3,5,7,9,11,13), c("within", "trailing")] == t(counts))
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#
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# Merging with a date as the time variable. In this case tstart/tstop are required
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# A default start of 0 has no meaning
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#
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base2 <- baseline
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base2$date1 <- as.Date("1953-03-10") # everyone enrolled that day
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base2$date2 <- as.Date("1953-03-10") + base2$futime
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base2$futime <- NULL
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test2 <- tests
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test2$date <- as.Date("1953-03-10") + test2$date
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mydata2 <- tmerge(base2, base2, id=idd, death=event(date2, status),
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tstart = date1, tstop= date2,
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options=list(tstartname="date1", tstopname="date2"))
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mydata2 <- tmerge(mydata2, test2, id=idd, ondrug=tdc(date, onoff))
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all.equal(mydata$ondrug, c(NA, NA,1, 1,0,1, NA, 1,0, NA, 1))
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