After the following commands (issued just after starting R)
set.seed(1)
n <- 600
x <- rnorm(n)
y <- rnorm(n)
aFactor <- factor(rep(1:5, length = n))
plot(x, y, col = aFactor)
R prints
*** caught segfault ***
address 0x10, cause 'memory not mapped'
Segmentation fault
and dies.
(Yes, I know tha
To my knowledge, this has not been reported previously, and doesn't
seem to have been changed in R-devel or R-patched.
If M is a matrix with coloumn names, and
mod <- prcomp(M) # or princomp
then predicting a single observation (row) with predict() gives the
error
Error in scale.default(newdat
