[R] Another question about bootstrapping cor

[David Parkhurst]

When I use the fix that Arun K. provided to my earlier example, I wonder 
how to find out where in the 999 bootstrap repetitions the value for the 
actual data fits.

Here is the fixed code:
x <- 1:15
y <- c(2,4,1,3,5, 7,6, 9,10,8, 14, 13, 11, 15, 12)
x[3] <- NA; x[11] <- NA; x[8] <- NA
y[2] <- NA; y[8] <- NA; y[12] <- NA
cor(x,y,use="complete.obs",method="kendall")
library(boot)
tmpdf <- data.frame(x,y)
##  corboot <- boot(tmpdf, 
cor(x,y,use="complete.obs",method="kendall"),R=999)
cor1 <- function(x,y) {cor(x,y,use="complete.obs",method="kendall")}
corboot <- boot(tmpdf,cor1,R=999)

When I run that, I get
 > corboot

ORDINARY NONPARAMETRIC BOOTSTRAP


Call:
boot(data = tmpdf, statistic = cor1, R = 999)


Bootstrap Statistics :
      original     bias    std. error
t1* 1.0000000 -1.0062026   0.2490860
t2* 0.8666667 -0.8694414   0.2491383

t2* is the estimate for the actual data.  What is t1*?  And again, how 
do I find where in the distribution of the 999 reps does that true value 
fall?
I would expect print(corboot) to give me more information, but it just 
repeats that same output.