[R] Summary grouped by factor

[Domenico Vistocco]

soeren.vogel at eawag.ch wrote:
> ### example:start
> v <- sample(rnorm(200), 100, replace=T)
> k <- rep.int(c("locA", "locB", "locC", "locD"), 25)
> tapply(v, k, summary)
> ### example:end
Maybe this could be a solution:

t1 <- tapply(v, k, summary)
t2 <- sapply(t1, cbind)
rownames(t2) <- names(t1[[1]])
t2

Ciao,
domenico
>
> ... (hopefully) produces 4 summaries of v according to k group 
> membership. How can I transform the output into a nice table with the 
> croups as columns and the interesting statistics as lines?
>
> Thx, Sören
>
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