How to compare AUCs using the boot package in R?

I would like to compare AUCs for two treatments using the boot package in R. However, something wrong with my R code and I don't know how to fix it. Can someone please give me a hint? many thanks in advance

require(boot)
#Create Data
set.seed(123)
N = 150
y1 = rnorm(150)
y2 = rnorm(150,1,0.2)
y3 = rnorm(150,2,0.5)
time = rep(1:3, each = 50)
trt = rep(rep(0:1, each = 25), times=3)
Data = data.frame(trt,time,y1,y2,y3)

#Trapezoid Rule
trap.rule = function(x,y) sum(diff(x)*(y[-1]+y[-length(y)]))/2

# Sum y1-y3 for each trt at each time point
SUM = function(data){
set1 = subset(x = data, data$time==1) set2 = subset(x = data, data$time==2)
set3 = subset(x = data, data$time==3) s1 = by(set1[,c("y1","y2","y3")], set1$trt, sum)
s2 = by(set1[,c("y1","y2","y3")], set2$trt, sum) s3 = by(set3[,c("y1","y2","y3")], set3$trt, sum)
result = matrix(data = c(s1[1],s2[1],s3[1],
s1[2],s2[2],s3[2]), ncol=2)
colnames(result) = c("trt = 0", "trt = 1")
output = cbind(time = 1:3,result)
return(output)
}

# Statistic for boot
AREA = function(data,i){
d = data[i,]
MQ = SUM(data = d)
A.0 = trap.rule(x = 1:3, y = MQ[,2])
A.1 = trap.rule(x = 1:3, y = MQ[,3])
area = A.1 - A.0
result = c(A.0, A.1, area)
return(result)
}

area.boot = boot(data = Data, statistic = AREA, R = 1000)
area.boot


However, there is an error message

Error in tapply(1L:49L, list(set2$trt = c(0L, 1L, 1L, 1L, 0L, 1L, 0L, : arguments must have same length  - The problem is in your function AREA. – user10525 Apr 21 '12 at 12:13 Hi Pocrastinator, I have a typo in my SUM function (see Daniel's comment). That's why boot can't work with AREA function. thanks. – Tu.2 Apr 21 '12 at 19:17 add comment 1 Answer I'm just getting started with R... Shouldn't it be set2 in the s2 assignment:  s1 = by(set1[,c("y1","y2","y3")], set1$trt, sum)
s2 = by(set2[,c("y1","y2","y3")], set2$trt, sum) s3 = by(set3[,c("y1","y2","y3")], set3$trt, sum)

-
thanks. I made a silly mistake. Appreciate! –  Tu.2 Apr 21 '12 at 19:06