You did not say how you imported the data, but if you used one of the
read.table variants (including read.csv) then you can use the na.strings
argument as documented in the help file for read.table.
Next time please read the posting guide, as there are some useful tips in
there, such as posting using plain text (a setting in your email program) so we
don't get garbled info from you, and providing a reproducible example.
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Sent from my phone. Please excuse my brevity.
On February 20, 2015 10:55:30 AM PST, Alexandra Catena <amc5...@gmail.com>
wrote:
>Hello All,
>
>I have a data frame of two columns for wind. The first column is for
>wind
>speed and the second wind direction. I'm trying to replace the 9999
>values
>in the first column and the 999 values in the second column with NA. I
>tried to use the function ltdl.fix.df but it doesn't seem to do
>anything.
>
>> ltdl.fix.df(windMV, zero2na = FALSE, coded = 999)
>
> n = 9432 by p = 4 matrix checked, 0 NA(s) present
>
> 0 factor variable(s) present
>
> 5675 value(s) coded 999 set to NA
>
> 0 -ve value(s) set to +ve half the negative value
>
>
>I have R version 3.1.1
>
>Thanks,
>Alexandra
>
> [[alternative HTML version deleted]]
>
>______________________________________________
>R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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>PLEASE do read the posting guide
>http://www.R-project.org/posting-guide.html
>and provide commented, minimal, self-contained, reproducible code.
______________________________________________
R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see
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PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
