Suggestions for vectorizing/double loop
Dear Luanna, Assuming that oldnames and newnames are character (and not factor), the just use stringsAsFactors = FALSE. That will save you from having to convert the factors back to character. data.frame(oldnames, newnames, stringsAsFactor = FALSE) Best regards, ir. Thierry Onkelinx Instituut voor natuur- en bosonderzoek / Research Institute for Nature and Forest team Biometrie & Kwaliteitszorg / team Biometrics & Quality Assurance Kliniekstraat 25 1070 Anderlecht Belgium To call in the statistician after the experiment is done may be no more than asking him to perform a post-mortem examination: he may be able to say what the experiment died of. ~ Sir Ronald Aylmer Fisher The plural of anecdote is not data. ~ Roger Brinner The combination of some data and an aching desire for an answer does not ensure that a reasonable answer can be extracted from a given body of data. ~ John Tukey 2017-01-23 13:28 GMT+01:00 Luanna Dixson <justanotherdigression at gmail.com>:
I need to rename a bunch of files, by searching for string matches in a
list. Each list element containings a character with the old filename that
I want to match to, and the new file name that I want to rename by.
For instance, here filename '1001.xls' should match to list[[1]]$oldname
and I want to rename it to 'newa.xls' from list[[1]]$newname.
The actual new file names I have will feature a random alphanumeric number
and the list will have a length of ~600.
# files I want to rename
files with old file name =c('1001.xls', '1002.xls')
# list with old file names and new file names
oldnames=c('1001', '1002', '1003')
newnames=c('newa', 'newb', 'newc')
df=data.frame(oldnames,newnames)
list <- split(df, rownames(df))
# turn list elements in character
for(i in 1:length(list)) list[[i]]$oldnames=as.
character(list[[i]]$oldnames)
for(i in 1:length(list)) list[[i]]$newnames=as.
character(list[[i]]$newnames)
I heard that it would be better to vectorize this than trying to do a
double loop so if someone could give me a hint about how to do this I would
be very grateful!
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