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Sent from my phone. Please excuse my brevity.
Tabby <dj.lan...@gmail.com> wrote:
>I need help writing function that takes three categorical inputs and
>returns
>a vector of summary statistics based on these inputs. The data set
>contains
>information on retail goods that can be specified by their retail
>segment,
>brand name, and type of good along with its retail price and what it
>actually sold for. I need to write a function that will take these
>inputs
>and average, count, and calculate whatever else is needed.
>
>I have set the function up as follows (using made up data):
>
>dataold=data.frame(segment=c("golf","tenis","football","tenis","golf","golf"),
>brand=c("x","y","z","y","x","a"),type=c("iron","ball","helmet","shoe","driver","iron"),
>retail=c(124,.60,80,75,150,108),actual=c(112,.60,72,75,135,100))
>
>retailsum=funtion(segment,brand,type){
>
>datanew=dataold[which(dataoldsegment='segment' & dataoldbrand='brand' &
>dataold$type='type'),c("retail","actaul")]
>
>summary=c(dim(datanew)[1],colMeans(datanew)) return(summary) }
>
>The code inside the function braces works on its own, but once I wrap a
>function around it I start getting errors or it will just return 0
>counts
>and NaN for the means.
>
>Any help would be greatly appreciated. I have very little experience in
>r,
>so I apologize if this is a trivial question, but I have not been able
>to
>find a solution.
>
>Thank you, D
>
>
>--
>View this message in context:
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>Sent from the R help mailing list archive at Nabble.com.
>
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