[R] Reading very large text files into R
btupper @end|ng |rom b|ge|ow@org
Thu Sep 29 16:12:23 CEST 2022
It's hard to know without seeing at least a snippet of the data.
Could you do the following and paste the result into a plain text
email? If you don't set your email client to plain text (from rich
text or html) then we are apt to see a jumble of output on our email
x <- readLines(filename, n = 20)
cat(x, sep = "\n")
On Thu, Sep 29, 2022 at 9:54 AM Nick Wray <nickmwray using gmail.com> wrote:
> Hello I may be offending the R purists with this question but it is
> linked to R, as will become clear. I have very large data sets from the UK
> Met Office in notepad form. Unfortunately, I can’t read them directly
> into R because, for some reason, although most lines in the text doc
> consist of 15 elements, every so often there is a sixteenth one and R
> doesn’t like this and gives me an error message because it has assumed that
> every line has 15 elements and doesn’t like finding one with more. I have
> tried playing around with the text document, inserting an extra element
> into the top line etc, but to no avail.
> Also unfortunately you need access permission from the Met Office to get
> the files in question so this link probably won’t work:
> So what I have done is simply to copy and paste the text docs into excel
> csv and then read them in, which is time-consuming but works. However the
> later datasets are over the excel limit of 1048576 lines. I can paste in
> the first 1048576 lines but then trying to isolate the remainder of the
> text doc to paste it into a second csv doc is proving v difficult – the
> only way I have found is to scroll down by hand and that’s taking ages. I
> cannot find another way of editing the notepad text doc to get rid of the
> part which I have already copied and pasted.
> Can anyone help with a)ideally being able to simply read the text tables
> into R or b)suggest a way of editing out the bits of the text file I have
> already pasted in without laborious scrolling?
> Thanks Nick Wray
> [[alternative HTML version deleted]]
> R-help using r-project.org mailing list -- To UNSUBSCRIBE and more, see
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
Ben Tupper (he/him)
Bigelow Laboratory for Ocean Science
East Boothbay, Maine
More information about the R-help