I stumbled onto this working on an update to coxph. The last 6 lines below are the question, the rest create a test data set.
tmt585% R R version 2.12.2 (2011-02-25) Copyright (C) 2011 The R Foundation for Statistical Computing ISBN 3-900051-07-0 Platform: x86_64-unknown-linux-gnu (64-bit) # Lines of code from survival/tests/singtest.R > library(survival) Loading required package: splines > test1 <- data.frame(time= c(4, 3,1,1,2,2,3), + status=c(1,NA,1,0,1,1,0), + x= c(0, 2,1,1,1,0,0)) > > temp <- rep(0:3, rep(7,4)) > > stest <- data.frame(start = 10*temp, + stop = 10*temp + test1$time, + status = rep(test1$status,4), + x = c(test1$x+ 1:7, rep(test1$x,3)), + epoch = rep(1:4, rep(7,4))) > > fit1 <- coxph(Surv(start, stop, status) ~ x * factor(epoch), stest) ## New lines > temp1 <- fit1$linear.predictor > temp2 <- as.matrix(temp1) > match(temp1, unique(temp1)) [1] 1 2 3 4 4 5 6 7 7 7 6 6 6 8 8 8 6 6 6 9 9 9 6 6 > match(temp2, unique(temp2)) [1] 1 2 3 4 4 5 6 7 7 7 6 6 6 NA NA NA 6 6 6 8 8 8 6 6 ----------------------- I've solved it for my code by not calling match on a 1 column vector. In general, however, should I be using some other paradym for this "map to unique" operation? For example match(as.character(x), unique(as.character(x)) ? Terry T ______________________________________________ R-devel@r-project.org mailing list https://stat.ethz.ch/mailman/listinfo/r-devel
