Try summaryBy in the doBy package. e.g. using the built-in CO2
summarize each numeric variable by each factor except for the factors
Plant and Type:
library(doBy)
summaryBy(. ~ ., data = subset(CO2, select = - c(Plant, Type)))
On Mon, Jan 18, 2010 at 9:53 AM, Ivan Calandra
<ivan.calan...@uni-hamburg.de> wrote:
> Hi everybody!
>
> I'm working on R today so I have a lot of questions (you may have
> noticed that it's the 3rd email today). I'm new on R, so please excuse
> the "spam"!
>
> I have a dataset "ssfa" with many rows and the column names are:
> > names(ssfa)
> [1] "SPECSHOR" "BONE" "TO_POS" "MEASUREM" "FACETTE" "SHEARFAC"
> [7] "ENA_BA" "SEL_FACET" "SEL_MEAS" "Asfc" "Smc" "epLsar"
> [13] "HAsfc4" "HAsfc9" "HAsfc16" "HAsfc25" "HAsfc36" "HAsfc49"
> [19] "HAsfc64" "HAsfc81" "HAsfc100" "HAsfc121" "Tfv" "Ftfv"
>
> I want to aggregate that way:
> ssfamean <- aggregate(ssfa[c("Asfc", "Smc", "epLsar", "HAsfc4",
> "HAsfc9", "HAsfc16", "HAsfc25", "HAsfc36", "HAsfc49", "HAsfc64",
> "HAsfc81", "HAsfc100", "HAsfc121", "Tfv", "Ftfv")], ssfa[c("SPECSHOR",
> "BONE", "TO_POS", "FACETTE", "SHEARFAC", "ENA_BA")], mean).
>
> As you can see, it is very long since I have many variables. Basically I
> want to select all numerical variables (10 to 24), and all categorical
> variables except MEASUREM, SEL_FACET and SEL_MEAS without having to
> write each of them. I would also like to avoid writing the names, the
> indexes would be nice.
> I tried with:
> > ssfamean <- aggregate(ssfa[c(ssfa[[10]]:ssfa[[24]])],
> ssfa[c("SPECSHOR", "BONE", "TO_POS", "FACETTE", "SHEARFAC", "ENA_BA")],
> mean)
> but it obviously doesn't work (well "obviously"...)
>
> Could anyone help me on this?
> Thanks in advance
> Ivan
>
> [[alternative HTML version deleted]]
>
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