Displaying 1 result from an estimated 1 matches for "cleandatasets".
2012 Sep 25
2
extract all data frames from a list & remove NAs
hi,
steps taken :
files<-lapply(list.files(),read.csv,header=T)
numberOfFiles<-length(list.files())
good<-lapply(files,complete.cases)
cleanDataSets<-list()
for (i in 1:numberOfFiles){
cleanDataSets[i]=files[[i]][good[[i]],]
}
with this loop for some reason i get only the first column from each data
frame from the list
if want to retrieve the only one data frame from the list i can do like
this:
files<-lapply(list.files(),read....