soeren.vo...@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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