On 21/04/12 13:52, Ben Neal wrote:
I am just trying to split a dataframe of 750 observations of 29 variables by
"Site", which is a vector in the dataframe with five text names (ex.
PtaCaracol). I just want to generate summary statistics for my other variables for each
site individually.
I know this should be simple, and I did read up on options, choosing to use "subset", but
I am honestly confounded that this does not result in a new dataframe split by this factor. I tried
"subset" with an argument based on my various other numeric vectors, and it worked just
fine. My very simple code is below, and thank you for any responses. I apologize for asking such a
simple question, but I wrote this out exactly as found it in an exactly similar question, which
indicated this should work. Now I am confused! Thank you for any assistance. Ben Neal
# Load data from CSV file
Cover = read.csv ("/Users/benjaminneal/Documents/1110_Panama/Transect series
/1210_BocasTransectSummary.csv",
header=T)
# Divide dataframe by Site names
Site1<- subset(Cover, Site = "PtaCaracol")
PS The csv loads fine, gives normal summary stats, and does not seem to be the issue. I
thought about just renaming by hand all the sites in the file (i.e.
"PtaCaracol"=1 . . but this seems like a weak solution).
What about a ***reproducible*** example?
What isn't working? What (if any) error message did you get?
I am at least 99% confident that numeric versus character values in
Cover$Site
is completely irrelevant.
My ***guess*** (and it can only be a guess, given the vagueness and
lack of detail in your question) is that you need a double ("logical")
equals sign. I.e. I suspect that
Site1<- subset(Cover, Site == "PtaCaracol")
will work.
That being said --- since you want to *split* your data frame by "Site" ---
why the <expletive deleted> don't you use split()???
E.g.:
Splitz <- split(Cover,Cover$Site)
cheers,
Rolf Turner
______________________________________________
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.
