1
2 6755 53122 2009 3 2
A.K.
- Original Message -
From: kborgmann
To: r-help@r-project.org
Cc:
Sent: Wednesday, July 25, 2012 1:10 PM
Subject: [R] Select rows based on matching conditions and logical operators
Hi,
I have a dataset in which I would like to select rows based
---Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
> Behalf Of William Dunlap
> Sent: Wednesday, July 25, 2012 3:37 PM
> To: Bert Gunter; Rui Barradas
> Cc: r-help
> Subject: Re: [R] Select rows based on matching conditions and logic
ter.ber...@gene.com]
> Sent: Wednesday, July 25, 2012 3:04 PM
> To: Rui Barradas
> Cc: William Dunlap; r-help
> Subject: Re: [R] Select rows based on matching conditions and logical
> operators
>
> Wouldn't
>
> > interaction(..., drop=TRUE)
>
> be the sam
0
>> 6 6755 53122 2008 3 1
>> 9 6755 53122 2009 3 2
>> When there are a lot of output rows the f2 can be quite a bit faster.
>>
>> (I put the call to droplevels(interaction(...)) into the call to ave
>> because ave
>> can waste a lot of time c
for nonexistent interaction levels.)
Bill Dunlap
Spotfire, TIBCO Software
wdunlap tibco.com
-Original Message-
From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
Behalf Of Rui Barradas
Sent: Wednesday, July 25, 2012 10:24 AM
To: kborgmann
Cc: r-help
Subject:
Bill Dunlap
Spotfire, TIBCO Software
wdunlap tibco.com
> -Original Message-
> From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On
> Behalf Of Rui Barradas
> Sent: Wednesday, July 25, 2012 10:24 AM
> To: kborgmann
> Cc: r-help
> Subject: Re: [R] Se
Thanks! which.max did the trick
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R-help@r-
Hello,
Apart from the output order this does it.
(I have changed 'df' to 'df1', 'df' is an R function, the F distribution
density.)
df1 <- read.table(text="
PGID PTID Year Visit Count
6755 53121 2009 1 0
6755 53121 2009 2 0
6755 53121 2009 3 0
6755 53122 2008 1 0
6755 53122 2008 2 0
6755 531
Hi,
I have a dataset in which I would like to select rows based on matching
conditions and return the maximum value of a variable else return one row if
duplicate counts exist. My dataset looks like this:
PGIDPTIDYear Visit Count
675553121 20091 0
675553121 2009
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