Thank you very much for all of the help!!! For what I need, Jim's and
Jeff's solutions were the most useful, but I really appreciate all of the
help I got.
On Sat, Feb 6, 2016 at 2:01 PM, Jeff Newmiller
wrote:
> Normally one wants not only to read the data, but to save it in an object
> as well.
Try this:
# install package HelpersMG from CRAN including dependencies
install.packages("HelpersMG")
# Update to the lastest version
install.packages("http://www.ese.u-psud.fr/epc/conservation/CRAN/HelpersMG.tar.gz";,
repos=NULL, type="source")
# Use the function read_folder()
library("Helpers
Computing filenames is a dangerous, backwards approach. If you already _have_
files, it's wrong to create filenames from assumptions. Rather you need to
capture the existing filenames with an appropriate use of list.files(), and
then process that vector. Computing filenames only has a place when
I tried the following but it does not work:
data <- lapply(
paste(("C:/Research3/simulation1/second_gen/pheno_
1000ind_4000m_add_h70_prog_",[1:2],"_",[2:3],".csv",sep=''),
read.csv, header=TRUE, sep=',' )
names(data) <- paste("d", LETTERS[1:3], sep='')
I tried that and R comp
Normally one wants not only to read the data, but to save it in an object
as well. Here are some modifications toward achieving that (untested):
header<-"C:/Research3/simulation1/second_gen/pheno_1000ind_4000m_add_h70_prog"
fnums <- expand.grid( a = 1:2, b = 2:3 )
result <- vector( "list", nrow(
Hi Reka,
Try this:
header<-"C:/Research3/simulation1/second_gen/pheno_
1000ind_4000m_add_h70_prog"
for(index1 in 1:2) {
for(index2 in 2:3)
read.csv(paste(paste(header,index1,index2,sep="_"),".csv",sep=""))
}
Jim
On Sat, Feb 6, 2016 at 4:53 PM, Reka Howard wrote:
> Hello,
> I have over 1000
6 matches
Mail list logo
