Assuming that your dataframe is DF and those are names of columns then
?subset
> DF <- data.frame(posit=runif(20, max=20), tvalues = runif(20, max=
10))
>
> subset(DF, subset= posit > 10 & tvalues > 3.5 )
posit tvalues
4 14.66464 9.527535
6 14.71280 7.231015
9 14.76594 7.626381
10 14.05379 7.198893
11 14.23830 7.219855
12 17.47984 3.844767
13 10.95396 4.639608
15 13.21104 6.828144
19 11.75401 5.249528
20 12.95288 6.963767
.. should do the trick
On Jan 14, 2009, at 10:41 AM, emj83 wrote:
I have a dataframe called Match with two columns: position and tvalue.
I would like to select the parts of the dataframe that have a
position> 10
but <50 and tvalues >3.5 as a new stand alone dataframe.
Could anyone help me with how to do this?
Thanks Emma
--
View this message in context:
http://www.nabble.com/selecting-parts-of-a-table-tp21458521p21458521.html
Sent from the R help mailing list archive at Nabble.com.
______________________________________________
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.
______________________________________________
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.
