[R] How to use tapply with more than one variables grouped
smartpink111 at yahoo.com
Wed Oct 24 04:05:20 CEST 2012
Just a modification of David's method:
# AL AR CA NY
#FALSE FALSE TRUE TRUE
# "CA" "NY"
----- Original Message -----
From: David Winsemius <dwinsemius at comcast.net>
To: noobmin <pseudovoid at hotmail.com>
Cc: r-help at r-project.org
Sent: Tuesday, October 23, 2012 8:45 PM
Subject: Re: [R] How to use tapply with more than one variables grouped
On Oct 23, 2012, at 1:25 PM, noobmin wrote:
> AL AR CA NY
> Doug 250 250 250 NA
> Jennifer 20 340 300 100
> Michele 250 500 250 60
> Obama 15 45 520 600
> My English is not very good, I'll try again. I want to list ALL states in
> the country where Obama had greater contribution. The table above shows the
> total contribution received by each candidate in a given state. To AL state
> obama not received more than Doug. For the AR state he received no more than
> others candidates. For the CA state he received a total of $ 520, which is
> 520>300>250>=250 and should be selected. In NY also had the largest
> contribution, $ 600, 600>100>60 and should therefore be selected.
> I want to make it to the N presidency candidates and M states of the
> country. The table above is only an example.
> apply(dat, 2, function(x) x["Obama"] == max(x, na.rm=TRUE) )
AL AR CA NY
FALSE FALSE TRUE TRUE
> names(dat)[ apply(dat, 2, function(x) x["Obama"] == max(x, na.rm=TRUE) ) ]
 "CA" "NY"
> Sorry again, for me it was clear. = (
> View this message in context: http://r.789695.n4.nabble.com/How-to-use-tapply-with-more-than-one-variables-grouped-tp4646948p4647220.html
> Sent from the R help mailing list archive at Nabble.com.
> R-help at r-project.org mailing list
> PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
David Winsemius, MD
Alameda, CA, USA
R-help at r-project.org mailing list
PLEASE do read the posting guide http://www.R-project.org/posting-guide.html
and provide commented, minimal, self-contained, reproducible code.
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