omment="string" in the tidyverse function read_csv().
>
> And, of course you can skip lines if that makes sense albeit it can be tricky
> with header lines.
>
> -Original Message-
> From: R-help On Behalf Of Rui Barradas
> Sent: Sunday, September 18, 2022 6:19
v().
And, of course you can skip lines if that makes sense albeit it can be tricky
with header lines.
-Original Message-
From: R-help On Behalf Of Rui Barradas
Sent: Sunday, September 18, 2022 6:19 PM
To: Nick Wray ; r-help@r-project.org
Subject: Re: [R] removing non-table lines
H
Helo,
Unfortunatelly there are many files with a non tabular data section
followed by the data. R's read.table has a skip argument:
skip
integer: the number of lines of the data file to skip before beginning
to read data.
If you do not know how many lines to skip because it's not
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 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
Can you provide a sample of say the first 3 rows then the last 2 rows
before the CSV starts.
Are there always the same number of lines at the top? Or can it vary
depending what non-sense the Met Office decided to contaminate it with?
This should be solvable with some sample data.
Base R or
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
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