Reading very large text files into R
Hi Bert Right Thing is, I didn't know that there even was an instruction like read.csv(text = "... your text... ") so at any rate I can paste the original text files in by hand if there's no shorter cut Thanks v much Nick
On Thu, 29 Sept 2022 at 16:16, Bert Gunter <bgunter.4567 at gmail.com> wrote:
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 at 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 [[alternative HTML version deleted]]
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