Ok, i will do, thanks for your help.
J
> Subject: RE: [R] Replace NaN with value from the same row
> From: jdnew...@dcn.davis.ca.us
> Date: Sun, 18 Oct 2015 12:55:14 -0700
> To: jonathanrear...@outlook.com
> CC: r-help@r-project.org
>
> You should (re-)read the intro docum
is making a new
>column called 'idx', finds the NaN values and inserts the boolean TRUE
>in the respective cell.
>df[ idx, "mean" ] <- df[ idx, "offset" ] << i am unsure what this
>is doing exactly.
>Jon
>
>
>> Subject: RE: [R] Rep
ctor) of type
>'NULL'
>Jon
>
>> Subject: Re: [R] Replace NaN with value from the same row
>> From: jdnew...@dcn.davis.ca.us
>> Date: Sun, 18 Oct 2015 11:06:44 -0700
>> To: jonathanrear...@outlook.com; r-help@r-project.org
>>
>> Next time send your e
Next time send your email using plain text format rather than HTML so we see
what you saw.
Try
idx <- is.na( df$mean )
df[ idx, "mean" ] <- df[ idx, "offset" ]
BTW there is a commonly-used function called df, so you might improve clarity
by using DF for your temporary data frame name.
---
Hi everyone,
A simple question, but i cannot figure this out.
I have a data-frame with 4 columns (onset, offset, outcome, mean):
onset offset outcome mean8 72071 72503 1 7244615 142598 143030
1NaN30 293729 294161 1 294080
For each 'NaN' in the mean column, i want to r
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