[R] Reading very large text files into R

[Bert Gunter]

I had no trouble reading your text snippet with
read.csv(text =
"... your text... ")

There were 15 columns. The last column was all empty except for the row
containing the "B".

So there seems to be some confusion here.

-- Bert






On Thu, Sep 29, 2022 at 6:54 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:
>
> https://catalogue.ceda.ac.uk/uuid/bbd6916225e7475514e17fdbf11141c1
>
> 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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