On 2012-03-19 15:00, Jorge I Velez wrote:
Hi David,

Thank you for the reproducible example!

Try

do.call(rbind, auc_stress)
   cortisol  amylase
2   919.05  6834.80
3   728.25 24422.05
4  2106.00 25908.35
6   636.40 12209.75
7  1925.95  4749.25

do.call(rbind, auc_control)
   cortisol  amylase
2   604.90  2458.00
4   587.65 29954.55
6   493.60 13833.80
7  1211.00  4932.35

HTH,
Jorge.-


Or with the plyr package:

library(plyr)
ldply(auc_stress)

Peter Ehlers




On Mon, Mar 19, 2012 at 5:44 PM, David Perlman<>  wrote:

I could do this in various hacky ways, but what's the right way?

I have a nice application of the by function, which does what I want.  The
output looks like this:

auc_stress
lab.samples.stress$subid: 2
  cortisol amylase
1   919.05  6834.8

---------------------------------------------------------------------------------------------------------------------------
lab.samples.stress$subid: 3
   cortisol  amylase
11   728.25 24422.05

etc.

What I want is a data frame roughly like this:

subid  cortisol.auc  amylase.auc
2      919.05        6834.8
3      728.25        24422.05

etc.

What is a nice way to make that happen?



Here is the code and data that I am using, which should run directly if
you copy and paste it:


sanity.check<-read.csv("
http://brainimaging.waisman.wisc.edu/~perlman/testdata.csv";, header=TRUE,
sep = ",")
lab.samples<- subset(sanity.check,Sample!='before bed'&  Sample!='morning
after')
lab.samples$Sample<-factor(lab.samples$Sample)
lab.samples.stress<-subset(lab.samples,challenge=='stress')
lab.samples.control<-subset(lab.samples,challenge=='control')

auc_ground<- function(sub_df) {
        print(sub_df)
        auc<-sub_df[1,]*0
        timedif<-c(60,10,10,10,10,10,10)
        for (i in 1:(nrow(sub_df)-1) ) {
                print(c(i,i+1))
                #print(c(values[i],values[i+1]))
                pair_area<-(sub_df[i,]+sub_df[i+1,])*timedif[i]/2
                auc<-auc+pair_area
        }
        auc
}

auc_stress<-by(lab.samples.stress[c('cortisol','amylase')],
lab.samples.stress$subid, auc_ground, simplify=T)
auc_control<-by(lab.samples.control[c('cortisol','amylase')],
lab.samples.control$subid, auc_ground, simplify=T)


Thanks for your help!

P.S. sorry if this question has been answered before, it is nearly
impossible to get useful google results on search terms like "by"...  too
common word...


-dave----------------------------------------------------------------------
A neuroscientist is at the video arcade, when someone makes him a $1000 bet
on Pac-Man. He smiles, gets out his screwdriver and takes apart the Pac-Man
game. Everyone says "What are you doing?" The neuroscientist says "Well,
since we all know that Pac-Man is based on electric signals traveling
through these circuits, obviously I can understand it better than the other
guy by going straight to the source!"

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and provide commented, minimal, self-contained, reproducible code.

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