Duncan, I think I'll avoid the problem in another manner, leaving me free to
choose whatever file names I want or need.
The reason I used gsub on file names is that I want to collate a series of
data.frames using rbind (or rbind.fill). For this, I need to know the names of
the data.frames I just read and this depends on the files that were in the
directory I choose to read.
I therefore use a bunch of gsub to extract data.frame names from file names
(file names were constructed to make this possible).
But I did this only because I did not know how to find the name of a data.frame
after it is loaded. I searched on the net to see if this was feasible. I did
not find a way to do this (short of doing a ls() before and after each load to
see what has changed) but I found something close, thanks to you actually, in
an answer you gave to another user!
> Aug 12, 2011; 3:23pmRe: Getting data from an *.RData file into a data.frame
> object.
> On 12/08/2011 3:12 PM, Ed Heaton wrote:
>
> > Hi, all.
> >
> > I'm new to R. I've been a SAS programmer for 20 years.
> >
> > I seem to be having trouble with the most basic task - bringing a table in
> > an *.RData file into a data.frame object.
> >
> > Here's how I created the *.RData file.
> >
> > library(RODBC)
> > db<- odbcConnect("*******")
> > df<- sqlQuery(
> > db
> > , "select * from schema.table where year(someDate)=2006"
> > )
> > save(
> > df
> > , file="C:/Documents and Settings/userName/My Documents/table2006.RData"
> > )
> > dim(df)
> > remove(df)
> > odbcClose(db)
> > remove(db)
> > detach("package:RODBC")
> >
> > Next, I moved that data file (table2006.RData) to another workstation - not
> > at the client site.
> >
> > Now, I need to get that data file into a data.frame object. I know this
> > should be simple, but I can't seem to find out how to do that. I tried the
> > following. First, after opening R without doing anything, RGui used 35,008
> > KB of memory. I submitted the following.
> >
> > > debt2006<- load("T:/R.Data/table2006.RData")
> >
> > Memory used by RGui jumped to 191,512 KB. So, it looks like the data
> > loaded. However, debt2005 is of type character instead of data.frame.
> >
> > > ls()
> > [1] "debt2005"
> > > class(debt2005)
> > [1] "character"
> > >
> >
> > Help, please.
> ... [show rest of quote]
>
> save() and load() work with multiple objects, and the objects keep their
> names. So your object would be recreated as "df" after the load.
>
> If you just want to save the data from one object without its name, use
> saveRDS() and readRDS().
>
> Duncan Murdoch
I'll use this in the current project to avoid the situation that led to my
initial message. Many thanks!
Denis
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