[R] removing non-table lines

[Jeff Newmiller]

Use the skip parameter if the number of header lines is always the same.

On September 18, 2022 12:39:50 PM PDT, Nick Wray <nickmwray using gmail.com> wrote:
>Hello - I am having to download lots of rainfall and temperature data in
>csv form from the UK Met Office.  The data isn't a problem - it's in nice
>columns and can be read into R easily - the problem is that in each csv
>there are 60 or so lines of information first which are not part of the
>columnar data.  If I read the whole csv into R the column data is now
>longer in columns but in some disorganised form - if I manually delete all
>the text lines above and download I get a nice neat data table.  As the
>text lines can't be identified in R by line numbers etc I can't find a way
>of deleting them in R and atm have to do it by hand which is slow.  It
>might be possible to write a complicated and dirty algorithm to rearrange
>the meteorological data back into columns but I suspect that it might be
>hard to get right and consistent across every csv sheet and any errors
>might be hard to spot.   I can't find anything on the net about this - has
>anyone else had to deal with this problem and if so do they have any
>solutions using R?
>Thanks Nick Wray
>
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>
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-- 
Sent from my phone. Please excuse my brevity.