Look at the summary.formula function inside package Hmisc
Christos
> Date: Sat, 26 Jun 2010 05:17:34 -0700
> From: raoul.t.dso...@gmail.com
> To: r-help@r-project.org
> Subject: [R] Calculating Summaries for each level of a Categorical variable
>
>
> Hi,
>
> I have a dataset which has a categorical variable "R",a count variable C
> (integer) and 4 or more numeric variables (A,T,W,H - integers) containing
> measures for "R". I would like to summarize each level of the variable R by
> the average for A,T,W and H.
>
> I have written a function to calculate weighted averages using C as the
> weight and this is given below. The function works perfectly but how do I
> add the additional dimension I require to this function?
>
> Dataset: RT=
> R A T W H
> R1 10 20 20 10
> R2 60 20 50 10
> R3 45 10 20 50
> R4 68 50 20 10
> R1 73 20 40 46
> R3 25 30 10 54
> R3 36 90 20 10
> R2 29 10 30 30
>
> # FUNCTION TO CALCULATE THE WEIGHTED AVERAGE FOR A WEIGHTED BY C
> WA<-function(A,C) {
> sp_A<-c(A %*% C)
> sum_C<-sum(C)
> WA<-sp_A/sum_C
> return(WA)
> }
>
> I am trying to incorporate the additional step of calculating the weighted
> average of A,T,W and H for each level of R. Need help with this.
>
> Thanks in advance!
> Raoul
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>
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