Thanks all for a very quick solution. It is actually good to know different
ways to do the same things. It expands my limited understanding of R :).
-A
On Wed, Jan 13, 2010 at 5:12 PM, Stephan Kolassa <stephan.kola...@gmx.de>wrote:
> Hi,
>
> does this do what you want?
>
> d <- cbind(d,apply(d[,c(2,3,4)],1,mean),apply(d[,c(2,3,4)],1,sd))
>
> HTH,
> Stephan
>
>
> Abhishek Pratap schrieb:
>
>> Hi All
>>
>> I have a data frame in which there are 4 columns .
>>
>> Column 1 : name
>>
>> Column 2-4 : values
>>
>> I would like to calculate mean/Standard error of values in column 2-4 and
>> store them in column 5,6 respectively.
>>
>>
>>
>> I have done the following but doesn't seem to work
>>
>> mean_N_SE <-function(x)
>> {
>>
>> name <- x[1]
>> vals <- c(x[2:4])
>> temp_mean <- mean(vals)
>> SE <- sqrt(var(x)/length(x))
>>
>> }
>>
>> apply(d,1,mean_N_SE) where d = data frame.
>>
>>
>> Can someone help me with this.
>>
>> Thanks!
>> -Abhi
>>
>> [[alternative HTML version deleted]]
>>
>> ______________________________________________
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>> 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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