Actually when I read the spreadsheet from cvs file, "S1-[abcd]" are the
header and "T1-[abcd]" are the strings in first column of the data frame.
Gordon
On 07/25/2009 03:13 AM, jim holtman wrote:
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<xjq...@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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