[R] help with calculation from dataframe with multiple entries per sample
David Winsemius
dwinsemius at comcast.net
Tue Sep 18 02:00:39 CEST 2012
On Sep 17, 2012, at 4:15 PM, Julie Lee-Yaw wrote:
> Hi
>
> I have a dataframe similar to:
>
>> Sample<-c(1,1,1,2,2,2,3,3,3)
>
>> Time<-c(1,2,3,1,2,3,1,2,3)
>
>> Mass<-c(3,3.1,3.4,4,4.3,4.4,3,3.2,3.5)
>
>> mydata<-as.data.frame(cbind(Sample,Time,Mass))
>
Please tell me where you learned that as.data.frame(cbind(.)) construction.
> (
> Sample Time Mass
> 1 1 1 3.0
> 2 1 2 3.1
> 3 1 3 3.4
> 4 2 1 4.0
> 5 2 2 4.3
> 6 2 3 4.4
> 7 3 1 3.0
> 8 3 2 3.2
> 9 3 3 3.5
>
> where for each sample, I've measured mass at different points in time.
>
> I now want to calculate the difference between Mass at Time 2 and 3 for each unique Sample and store this as a new variable called "Gain2-3". So in my example three values of 0.3,0.1,0.3 would be calculated for my three unique samples and these values would be repeated in the table according to Sample. I am thus expecting:
>
>> mydata #after adding new variable
mydata$gain2.3 <- with( mydata, ave( Mass , Time, FUN=function(x) diff(x[2],x[3]) ) )
>
> Sample Time MassGain2-3
> 1 1 1 3.00.3
> 2 1 2 3.1 0.3
> 3 1 3 3.4 0.3
> 4 2 1 4.0 0.1
> 5 2 2 4.3 0.1
> 6 2 3 4.4 0.1
> 7 3 1 3.0 0.3
> 8 3 2 3.2 0.3
> 9 3 3 3.5 0.3
>
> mydata$gain2.3 <- with( mydata, ave( Mass , Sample, FUN=function(x) (x[3]-x[2]) ) )
> mydata
Sample Time Mass gain2.3
1 1 1 3.0 0.3
2 1 2 3.1 0.3
3 1 3 3.4 0.3
4 2 1 4.0 0.1
5 2 2 4.3 0.1
6 2 3 4.4 0.1
7 3 1 3.0 0.3
8 3 2 3.2 0.3
9 3 3 3.5 0.3
> Does anyone have any suggestions as to how to do this? I've looked at the various apply functions but I can't seem to make anything work. I'm fairly new to R and would appreciate specific suggestions.
--
David Winsemius, MD
Alameda, CA, USA
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