It works perfectly now. Thank you all.
Toby
On 18 Aug 2010 at 15:04, Erik Iverson wrote:
>
>
> Toby Gass wrote:
> > Thank you for the suggestions for the more efficient code. The
> > problem remains, however, that the final dataframe does not contain
> > the correct values. So, in the cas
Toby Gass wrote:
Thank you for the suggestions for the more efficient code. The
problem remains, however, that the final dataframe does not contain
the correct values. So, in the case of the code you suggested,
imp <- lapply(test, read.csv)
do.call(rbind, imp)
imp does contain all the da
Thank you for the suggestions for the more efficient code. The
problem remains, however, that the final dataframe does not contain
the correct values. So, in the case of the code you suggested,
imp <- lapply(test, read.csv)
do.call(rbind, imp)
imp does contain all the data from each datafram
Toby Gass wrote:
Dear helpeRs,
I am attempting to read in a series of csv files so I can bind them
into one large dataframe. I have written the following script:
test <- list.files(".", pattern = "csv") #lline 1
imp <- list()#line 2
for (i in 1:length(t
Dear helpeRs,
I am attempting to read in a series of csv files so I can bind them
into one large dataframe. I have written the following script:
test <- list.files(".", pattern = "csv") #lline 1
imp <- list()#line 2
for (i in 1:length(test)) {
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