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Full_Name: Hsiu-Khuern Tang Version: 2.0.0 OS: Debian GNU/Linux Submission from: (NULL) (156.153.255.236) Hi all, If fit is an rpart object, plot(fit, uniform=TRUE) ignores uniform=TRUE if the graphics device is not already open. To reproduce this: library("rpart") example(plot.rpart) dev.off() # <- works OK without this plot(fit, uniform=TRUE) # <- uniform=TRUE is ignored

In src/main/gram.y, the documentation for R_ParseVector has a wrong signature: SEXP R_ParseVector(TextBuffer *text, int n, ParseStatus *status) should be SEXP R_ParseVector(SEXP text, int n, ParseStatus *status) In addition, the two occurrences of "IOBuffer" in the documentation should be replaced by "IoBuffer". version.string = Version 2.3.0 beta (2006-04-14 r37779)

Full_Name: Hsiu-Khuern Tang Version: 1.3.0 OS: GNU/Linux (Debian unstable) Submission from: (NULL) (192.6.19.124) Hi all, I am not sure this is a bug rather than an intentional design, but here goes: If I do > a <- matrix(1:4, nrow=2) > dimnames(a)[[1]] <- c("a", "b") I get the following error message because dimnames(a) is NULL: Error: more elements

Full_Name: Hsiu-Khuern Tang Version: 1.4.1 OS: Linux Submission from: (NULL) (192.6.19.190) Hi all, When renaming the levels of a factor f using levels(f)<-list(...), if the list is longer than the original number of levels in f, the result is wrong. Example: > f <- factor(c("a","b")) > levels(f) <- list(C="C", A="a", B="b")

Full_Name: Hsiu-Khuern Tang Version: 1.8.0 OS: GNU/Linux (Debian unstable) Submission from: (NULL) (156.153.255.243) Hi, I use palette(rgb(red=..., green=..., blue=..., names=mycolors)) to define my own color palette. After doing this, the names `mycolors' are not stored in palette() anymore, so that palette() returns a mix of built-in color names and RGB values. Eg: > palette()

Full_Name: Hsiu-Khuern Tang Version: 1.8.0 OS: Debian GNU/Linux unstable Submission from: (NULL) (156.153.255.243) While reading the R lang info pages, I came across the following paragraphs in the node "Scope": >> A simple example, >> >> f <- function(x) { >> y <- 10 >> g <- function(x) x + y >> return(g)