This would return a vector the names of objects whose names begin with
"fund":
ls()[grep("^fund", ls())]
I'm such a grep-noob that I don't know off the top of my head what the
pattern should be to restrict it to only those objects with digits in
the next position.
Perhaps:
do.call( "rbind", sapply(ls()[grep("^m", ls())], get) )
--
David.
On Nov 2, 2009, at 5:24 AM, Jim Lemon wrote:
On 11/02/2009 05:04 PM, Steven Kang wrote:
Dear R users,
I wish to utilise processed and saved objects as arguments of a
function.
Specifically, I have created objects using *"assign"*& *"paste"*
functions
with an incremental index i, the names of the objects are:
fund1, fund2, fund3,....., fund80,..... (where the numerical
value
increments according to the index i& class of these objects are
dataframes)
I wish to collapse these objects row wisely using *"rbind"* function.
paste("fund", 1:i, sep = "") results in list of objects as
characters...&
get(paste("fund", 1:i, sep = "")) outputs fund1...
Are there any methods to use these objects as an argument of
"rbind" to
collapse the dataframes?
Your expertise in resolving this issue would be highly appreciated.
Hi Steven,
There is probably a neater way to construct the list of dataframes,
but this will probably do what you want:
dnames<-paste("fund",1:nfunds,sep="")
makelist<-function(x) {
nitems<-length(x)
newlist<-vector("list",nitems)
for(item in 1:nitems) newlist[[item]]<-get(x[item])
return(newlist)
}
dflist<-makelist(dfnames)
do.call("rbind",dflist)
Of course all of the dataframes must have the same number of columns
or the result will be messy or not there at all.
Jim
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David Winsemius, MD
Heritage Laboratories
West Hartford, CT
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