So I wrote a script to make changes to dataframes, however I've come across a few issues I can't seem to solve. First of all, the part where I want to rename column variable mac_sector to sector, doesn't seem to work, it doesn't rename anything, nor does it give an error.
Also when I save the modified datasets, they are simply called 1,2,3... etc. However, I actually just want them to have the same name they originally had. I tried to do this by "names(dflist)[i] <- gsub("\\.dta$", "", files)", but that doesn't work.
It gives these warning messages as well, although I do not know if they have an actual effect on the files, as I've seen no complications: Warning messages:
1: In save.dta13(dflist[[i]], paste0(i, ".dta")) :
Number of variable labels does not match number of variables.
Variable labels dropped.
2: In save.dta13(dflist[[i]], paste0(i, ".dta")) :
Number of variable labels does not match number of variables.
Variable labels dropped.
3: In save.dta13(dflist[[i]], paste0(i, ".dta")) :
Number of variable labels does not match number of variables.
Variable labels dropped.
Lastly, is there a way to save files to other directory than your working directory?
My script:
setwd("C:\\....")
files = list.files(pattern="*.dta")
dflist <- list()
for (i in 1:length(files)){
dflist[[i]] <- read.dta13(files[i], nonint.factors = TRUE)
if("mac_sector" %in% colnames(dflist[[i]])){ #rename mac_sector to sector if present
rename(dflist[[i]], c(mac_sector="sector"))}
if(!("sector" %in% colnames(dflist[[i]]))){ #This creates "sector" variable if it doesn't exist already.
dflist[[i]]$sector <- "total"}
names(dflist)[i] <- gsub("\\.dta$", "", files) #Matching the names of the elements to the filenames
save.dta13(dflist[[i]], paste0(i, ".dta")) #Saving dataset
}
Input: dataframe 1:
country SA year DV VI DI DIV DIV_s DIV_p t ta
1 AUSTRIA NA 2001 0 NA NA NA NA NA 0 NA
2 AUSTRIA NA 2002 0 NA NA NA NA NA 0 NA
3 AUSTRIA NA 2003 0 NA NA NA NA NA 0 NA
4 AUSTRIA NA 2004 0 NA NA NA NA NA 0 NA
5 AUSTRIA NA 2005 0 NA NA NA NA NA 0 NA
dataframe 2:
country mac_sector SA year DV VI DI DIV DIV_s DIV_p t ta
1 BELGIUM ing 0 2001 0 NA NA NA NA NA 3036 0.09725133
2 BELGIUM ing 0 2002 0 NA NA NA NA NA 2970 0.09641831
3 BELGIUM ing 0 2003 0 NA NA NA NA NA 2917 0.09791633
4 BELGIUM ing 0 2004 0 NA NA NA NA NA 2907 0.10297798
5 BELGIUM ing 0 2005 0 NA NA NA NA NA 2904 0.10182869
dataframe 3:
country sector SA year DV VI DI DIV DIV_s DIV_p t ta
1 BELGIUM prod 0 2001 0 NA NA NA NA NA 392 0.09688306
2 BELGIUM prod 0 2002 0 NA NA NA NA NA 398 0.09394456
3 BELGIUM prod 0 2003 0 NA NA NA NA NA 394 0.09536502
4 BELGIUM prod 0 2004 0 NA NA NA NA NA 404 0.10367264
5 BELGIUM prod 0 2005 0 NA NA NA NA NA 407 0.08961585
Try this, no need for the plyr library anymore, should be able to rename and save as file names you wanted to a new location:
setwd("C:\\...")
files = list.files(pattern="*.dta")
dflist <- list()
for (i in 1:length(files)){
dflist[[i]] <- read.dta13(files[i],header=TRUE)
if("mac_sector" %in% colnames(dflist[[i]])){ #rename mac_sector to sector if present
names(dflist[[i]])[names(dflist[[i]])=="mac_sector"] <- "sector"
#rename(dflist[[i]], replace = c("mac_sector"="sector"))}
if(!("sector" %in% colnames(dflist[[i]]))){ #This creates "sector" variable if it doesn't exist already.
dflist[[i]]$sector <- "total"}
names(dflist)[i] <- gsub("\\.dta$", "", files[i]) #Matching the names of the elements to the filenames
save.dta13(dflist[[i]],paste0("C:\\...\\newlocation\\",names(dflist)[i], ".dta")) #Saving dataset
}