Try this:
sek <- seq(1, nrow(Indometh), 9)
Indometh$time[sek] <- NA
Indometh$timeclass <- factor(cut(Indometh$time, breaks=c(0,2,4,6,8,10)))
x <- summary(conc ~ Subject + timeclass, method="cross", data=Indometh)
vec <- x$S
dim(vec) <- attr(x, "out.attrs")$dim
dimnames(vec) <- attr(x, "out.attrs")
Lauri Nikkinen wrote:
R users,
I intention is to calculate some summary statistics across factor
levels. I know that in Hmisc package there is a summary function which
produces neat summary statistics when using "cross" option. I would
like to produce similar output with N and Missing columns bu
R users,
I intention is to calculate some summary statistics across factor
levels. I know that in Hmisc package there is a summary function which
produces neat summary statistics when using "cross" option. I would
like to produce similar output with N and Missing columns but produce
a data.frame.
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