Às 18:59 de 06/11/2024, Sibylle Stöckli escreveu:
Dear Rui
Dear Bert
Many thanks
Solution
filelist <- list.files(path = "O:/Data-Work/2.../Daten_RA-MeteoCH_1990-2021",
pattern='*.dat', all.files= T, full.names= T)
AAR<-read.table(filelist[1])
It seems therefore that there is no other way than read in individually > 100
weather tables using read.tables., right? Using file.choose() doesn't change the
work.
Yes my .dat files are data.frames
str(W[[1]]) 'data.frame': 11688 obs. of 7 variables: $ year : num 1990 1990 1990
1990 1990 1990 1990 1990 1990 1990 ... $ DOY : num 1 2 3 4 5 6 7 8 9 10 ... $
Ta : num -2.67 -2.77 -2.23 -2.21 -0.98 0.82 0.49 -1.02 -2.31 -3.36 ... $ Tmin :
num -3.5 -3.7 -4.26 -2.87 -2.98 0.3 -0.83 -1.27 -3 -3.82 ... $ Tmax : num -1.13
-0.15 -0.13 -0.45 1 1.87 1.72 -0.35 -0.85 -2.3 ... $ Precip: num 0 0 0 0 0.45
1.81 0.03 0 0 0 ... $ rSSD : num 0 0.08 0 0 0.08 0 0 0 0 0 ...
*Gesendet: *Mittwoch, 6. November 2024 um 18:28
*Von: *"Bert Gunter" <bgunter.4...@gmail.com>
*An: *"Sibylle Stöckli" <sibylle.stoec...@gmx.ch>
*CC: *r-help@r-project.org
*Betreff: *Re: [R] Using multiple dat files
Not quite sure if I understand you.
list.files() simply returns a character vector(not a list). You can simply use a
vector index to select whatever file you wish to read. So if your desired
filename is the 5th element of filelist above, something like
myfile <- read.table(filename[5], ...)
You can also use regular expressions to choose a bunch of files that have some
common signature to their names that you can read in simultaneously using your
"filelist" vector of names via something like:
myfiles <- lapply(grep("weath", filelist, value = TRUE), \(x) read.table(x,...))
### Note that the result of lapply *is* a list, so use list indexing for
extraction from myfiles.
You can also choose files to read interactively (via a GUI interface) using
file.choose() instead of using list.files() if you prefer to do it that way.
Cheers,
Bert
On Wed, Nov 6, 2024 at 8:25 AM Sibylle Stöckli via R-help <r-help@r-project.org
<mailto:r-help@r-project.org>> wrote:
Dear community
To import multiple .dat weather files I am using list.files().
I intend to use the R package “ClimInd” to calculate different agroclimatic
indicators.
Question: Is there another solution to import multiple .dat files so that I
can select elements from the list, e.g. one specific weather file (example
AAR_DailyWeather)?
# Import multiple .dat files weather data
filelist <- list.files(path =
"O:/Data-Work/……./Daten_RA-MeteoCH_1990-2021",
pattern='*.dat', all.files= T, full.names= T)
W <- lapply(filelist, function(x) read.table(x, header = TRUE, sep = "",
colClasses = "numeric", comment.char = ""))
W[[1]]
> dd(data = W[[1]]$Precip, time.scale = W[[1]]$year)
Fehler in W[[1]]$year : $ operator is invalid for atomic vectors
Kind regards
Sibylle
______________________________________________
R-help@r-project.org <mailto:R-help@r-project.org> mailing list -- To
UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help <https://stat.ethz.ch/mailman/
listinfo/r-help>
PLEASE do read the posting guide https://www.R-project.org/posting-
guide.html <https://www.R-project.org/posting-guide.html>
and provide commented, minimal, self-contained, reproducible code.
Hello,
If read.table as you have posted it solves the problem of reading one
file, then the following should read all of them.
# No further options passed to read.table. Was that the problem?
AAR_list <- lapply(filelist, read.table)
# You can also set the returned list's names, like Bert "suggested"
AAR_list <- setNames(AAR_list, basename(filelist))
Or you can test in a small subset of the files
# If this works then it's probably safe to read them all
# (and you don't have to, if it doesn't)
AAR_list <- lapply(filelist[1:3], read.table)
Hope this helps,
Rui Barradas
--
Este e-mail foi analisado pelo software antivírus AVG para verificar a presença
de vírus.
www.avg.com
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
https://stat.ethz.ch/mailman/listinfo/r-help
PLEASE do read the posting guide https://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
