It's very simple to do this in steps:
# to make separate dataframes
df - data.frame(A=1:5, B=11:15)
df.sample - c(1,3,4)
df[df.sample, ]
A B
1 1 11
3 3 13
4 4 14
df[-df.sample, ]
A B
2 2 12
5 5 15
# or a list with two components
split(df, 1:nrow(df) %in% df.sample)
$`FALSE`
A B
2 2 12
5 5 15
$`TRUE`
A B
1 1 11
3 3 13
4 4 14
Sarah
On Thu, Jun 23, 2011 at 12:12 PM, Paul Tanger paul.tan...@colostate.edu wrote:
Hi,
I seemingly have a simple problem, but I've spend hours reading guides
posts on this forum and I can't seem to piece together what I need.
I have a dataframe where I want to divide it into two subsets: a sample, and
the remainder of the dataframe in a new frame.
I've tried this:
split(df, sample(nrow(df), size=100, replace=FALSE))
another way would be to make a new dataframe of my sample and (something I
can do in SQL but not R) then select rows that are NOT in the sample
dataframe.
Thanks for any help!
[[alternative HTML version deleted]]
--
Sarah Goslee
http://www.functionaldiversity.org
__
R-help@r-project.org mailing list
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
