will this do it for you:
> x <- read.table(text = " m1_1 m2_1 m3_1 m1_2 m2_2 m3_2
+111222
+ 211222
+ 221222", header = TRUE)
> # split out the main names of the column
> x.names <- do.call(rbind, strsplit(names(x), "_"))
> x
On Jan 11, 2012, at 3:55 PM, Christopher G Oakley wrote:
I need some help summarizing complex data frames (small example
below):
m1_1 m2_1 m3_1 m1_2 m2_2 m3_2
i1111222
i1211222
i2221222
For an arbitrary number of co
Well, if I understand what you want to do, it's straightforward, ?"["
(pay attention to the use of column names) and ?grep would pick out
the columns you want and you could then use mapply or maybe rowMeans
or whatever to get your summaries.
HOWEVER ... I think what you should really should do is
Hi,
On Wed, Jan 11, 2012 at 3:55 PM, Christopher G Oakley
wrote:
> I need some help summarizing complex data frames (small example below):
>
> m1_1 m2_1 m3_1 m1_2 m2_2 m3_2
> i1 1 1 1 2 2 2
> i1 2 1 1 2 2 2
> i2 2 2 1 2 2 2
>
>
> For an arb
I need some help summarizing complex data frames (small example below):
m1_1 m2_1 m3_1 m1_2 m2_2 m3_2
i1111222
i1211222
i2221222
For an arbitrary number of columns (say m1 …. m199) where the column names have
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