S-PLUS 6.1:
> DF <- data.frame(a = 1:2, b = letters[1:2])
> DF2 <- data.frame(c = TRUE)
> DF3 <- data.frame(c = TRUE, d = 2)
> sapply(DF, class)
a b
"integer" "factor"
> as.matrix(DF)
a b
1 "1" "a"
2 "2" "b"
> as.matrix(DF2)
c
1 T
> as.matrix(DF3)
c d
1 1 2##################
R 1.7.1:
> DF <- data.frame(a=1:2, b=letters[1:2])
> DF2 <- data.frame(c=TRUE)
> DF3 <- data.frame(c=TRUE, d=2)
> sapply(DF, class)
a b
"integer" "factor"
> as.matrix(DF)
a b 1 "1" "a"
2 "2" "b"
> as.matrix(DF2)
c 1 "TRUE"
> as.matrix(DF3)
c d 1 "TRUE" "2"
#####################
Hope this helps. spencer graves
Ross Boylan wrote:
When assigning a dataframe to a subset of a matrix I got a very odd result. Am I missing something, or is this a bug? Details are below.
Also, if m is defined outside of the current function, is m[...] <<- foo necessary to update it, or does regular replacement m[....] <- foo work (that is, does it update the "global" rather than creating a "local" that conceals it)? I got conflicting results, which were tangled up with the oddity below. --------------------------------------------------------
Browse[1]> covs epilepsy other.cancer 680 0 0 681 0 0 682 0 0 683 0 1 684 0 0 Browse[1]> m <- matrix(NA, 5,2) Browse[1]> m[,1:2] <- covs Browse[1]> m [[1]] [1] 0 0 0 0 0
[[2]] [1] 0 0 0 1 0
[[3]] [1] 0 0 0 0 0
[[4]] [1] 0 0 0 1 0
[[5]] [1] 0 0 0 0 0
[[6]] [1] 0 0 0 1 0
[[7]] [1] 0 0 0 0 0
[[8]] [1] 0 0 0 1 0
[[9]] [1] 0 0 0 0 0
[[10]] [1] 0 0 0 1 0
Browse[1]> dim(covs) [1] 5 2 Browse[1]> class(covs) [1] "data.frame" Browse[1]> class(m) [1] "list" Browse[1]> length(m) [1] 10
Fortunately, the following seems to work as expected: Browse[1]> m[,1:2] <- as.matrix(covs)
Ross Boylan wk: (415) 502-4031 530 Parnassus Avenue (Library) rm 115-4 [EMAIL PROTECTED] Dept of Epidemiology and Biostatistics fax: (415) 476-9856 University of California, San Francisco San Francisco, CA 94143-0840 hm: (415) 550-1062
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