So I have a single instance of dta to csv conversion, and I need to repeat it for all files in a directory. Great help on SO, but I'm still not quite there. Here's the single instance
#Load Foreign Library
library(foreign)
## Set working directory in which dtw files can be found)
setwd("~/Desktop")
## Single File Convert
write.csv(read.dta("example.dta"), file = "example.csv")
From here, I figure I use something like:
## Get list of all the files
file_list<-dir(pattern = ".dta$", recursive=F, ignore.case = T)
## Get the number of files
n <- length(file_list)
## Loop through each file
for(i in 1:n) file_list[[i]]
But I'm not sure of the proper syntax, expressions, etc. After reviewing the great solutions below, I'm just confused (not necessarily getting errors) and about to do it manually -- quick tips for an elegant way to go through each file in a directory and convert it?
Answers reviewed include:
Convert Stata .dta file to CSV without Stata software
applying R script prepared for single file to multiple files in the directory
Reading multiple files from a directory, R
THANKS!!
Got the answer: Here's the final code:
## CONVERT ALL FILES IN A DIRECTORY
## Load Foreign Library
library(foreign)
## Set working directory in which dtw files can be found)
setwd("~/Desktop")
## Convert all files in wd from DTA to CSV
### Note: alter the write/read functions for different file types. dta->csv used in this specific example
for (f in Sys.glob('*.dta'))
write.csv(read.dta(f), file = gsub('dta$', 'csv', f))
If the files are in your current working directory, one way would be to use Sys.glob
to get the names, then loop over this vector.
for (f in Sys.glob('*.dta'))
write.csv(read.dta(f), file = gsub('dta$', 'csv', f))