Message-ID: <49B14E45.8090801@unicas.it>
Date: 2009-03-06T16:24:37Z
From: Domenico Vistocco
Subject: Summary grouped by factor
In-Reply-To: <7AD05924-2219-4C41-B21B-E3543DFEA7C8@eawag.ch>
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, S?ren
>
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