It it not entirely clear what the format of your data is. If you have
a dataframe that you would like to separate into several different one
based on the value in a column, then something like this will work:
df.list <- split(yourDF, yourDF$column)
This will create a list of dataframes, split according to the contents
of "column".
On Fri, Jul 24, 2009 at 9:20 PM, Junqian Gordon Xu<xjqian at gmail.com>
wrote:> I have a multidimensional data which looks like the following:
>
> ? ? ? "S1-a" "S2-b" "S3-c" "S4-d"
"S5-a" "S6-b" "S7-c" "S8-d"
> "T1-A"
> "T1-B"
> "T1-C"
> "T1-D"
> "T2-A"
> "T2-B"
> "T2-C"
> "T2-D"
>
> I read it from csv file and would like to have 16 separate data frames like
> this
>
> ? ? "S1-a" "S2-a" ? ? "S1-b" "S2-b"
? ? "S1-c" "S2-c" ? ?"S1-d" "S2-d"
> "T1-A" ? ? ? ? ? ?"T1-A" ? ? ? ? ? ?"T1-A" ?
? ? ? ? ?"T1-A"
> "T2-A" ? ? ? ? ? ?"T2-A" ? ? ? ? ? ?"T2-A" ?
? ? ? ? ?"T2-A"
>
> ? ? "S1-b" "S2-b" ? ...
> "T1-B" ? ? ? ? ? ? ? ...
> "T1-B" ? ? ? ? ? ? ? ...
>
> ...
> ...
>
> One way is to use loops to cycle through, but I think it's even simpler
to
> use regex expression to separate them since "abcd" and
"ABCD" are unique
> strings in the table. Does anybody have any pointer on how to do this?
>
> Thanks
> Gordon
>
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>
--
Jim Holtman
Cincinnati, OH
+1 513 646 9390
What is the problem that you are trying to solve?