[R] Reading very large text files into R
r@oknz @end|ng |rom gm@||@com
Fri Sep 30 06:07:55 CEST 2022
If I had this problem, in the old days I'd've whipped up
a tiny AWK script. These days I might use xsv or qsv.
first I would want to know why these extra fields are
present and what they signify. Are they good data that
happen not to be described in the documentation? Do
they represent a defect in the generation process? What
other discrepancies are there? If the data *format*
cannot be fully trusted, what does that say about the
data *content*? Do other data sets from the same source
have the same issue? Is it possible to compare this
version of the data with an earlier version?
On Fri, 30 Sept 2022 at 02:54, 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
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