Dear list,
I'm puzzled by the graphical output in the following example,
library(grid)
foo <- function(){
grid.rect(gp=gpar(fill="black"))
print(get.gpar()$fill)
grid.rect(width=0.2,height=0.2)
}
png("test.png", bg = "transparent")
foo()
dev.off()
png("test1.png", bg = "white")
foo()
dev
R's predict.lm() fails when trying to compute
term-wise confidence (or prediction) intervals
for a subset of the terms in a model:
> dat <- data.frame(y=log(1:10), x=1:10,
fac=rep(LETTERS[11:13],c(3,3,4)))
> fit <- lm(y~fac*x, data=dat)
> # can compute intervals for all terms
> pfit <- predict(fit
I've looked at various threads on the r-devel archive and it looks like this
may have been discussed before, but as far as could tell, not to any great
resolution, and not, it seems, specifically covering this angle.
My understanding of LGPL is that ALL of the source files that go into R.dll
(a
