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
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