Try these:
aggregate(DF[4], DF[c(3,5)], sum)
xtabs(revenue ~ status + name, DF)
library(doBy)
summaryBy(revenue ~ status + name, data = DF, FUN = sum)
On 1/27/07, Mark Hempelmann <neo27 at rakers.de>
wrote:> Dear Wizards -
>
> Thank you so much for your help. That was exactly what I was looking
> for. Now, I have been working on conditional selection of columns in a
> data frame. My goal is to calculate the total revenue per sales
> representative per status in a table. I have come to a complete stop:
>
> Let's say, we have a data.frame called df with several columns and a
> number of rows:
>
> df <- data.frame( nr=101:110, letter=LETTERS[1:10],
> name=c(rep("eenie",3), rep("meenie",2),
rep("miney",4),
> "moe"), revenue=round(runif(10, min=100, max=1000),0),
> status=round(runif(10,min=1, max=3),0) )
>
> gives
> nr letter name revenue status
> 1 101 A eenie 764 2
> 2 102 B eenie 918 2
> 3 103 C eenie 936 3
> 4 104 D meenie 770 2
> 5 105 E meenie 280 1
> 6 106 F miney 172 2
> 7 107 G miney 439 2
> 8 108 H miney 607 1
> 9 109 I miney 553 1
> 10 110 J moe 322 2
>
> where status means: 3=no deal, 2=pending, 1=good job.
> now, we want the total revenue per sales representative per status in a
> table.
>
> sum( subset(df, name=="eenie", select=revenue) )
>
> gives the total of eenie without status, but I would like to have sthg
like:
>
> status
> 1
> name revenue
> eenie 1000
> meenie 2000...
>
> status
> 2
> name revenue
> eenie 100
> meenie 200...
>
> Are these flat contingency tables? How can I get the results without
> much hazzle in one list/ table? i did read the ?ftable and what I was
> able to derive so far is:
>
> flat.df <- ftable(df[c("name", "revenue",
"status")])
>
> but I am unable to further agglomerate the data. hmpf.
> Good God, what would I do without my R-help forum?
>
> Thank you again
> Cheers and a relaxing weekend
> mark
>
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