Reputation: 129
I've 10 excel files that I need to read them first, then I want to export each one of them as .csv file. I use the following code to read them all:
mydir = setwd("~/Dropbox/AnalysisFolder")
myfiles = list.files(path=mydir, pattern="*.xlsx", full.names=TRUE)
myfiles
After reading the 10 excel file they're stored into one object in the environment, how can I write each one of them to .csv file, with keeping the name of the new .csv file as it is in the excel file? Thank you in advance,
Upvotes: 0
Views: 224
Reputation: 389265
You can take help of lapply
, read the excel file with read_excel
. Change xlsx
extension to csv
and write the file with write.csv
.
setwd("~/Dropbox/AnalysisFolder")
myfiles = list.files(path=mydir, pattern="*.xlsx", full.names=TRUE)
lapply(myfiles, function(x) {
data <- data.frame(readxl::read_excel(x))
write.csv(data, sub('xlsx$', 'csv', basename(x)), row.names = FALSE)
})
Upvotes: 1