Mao Jianfeng
2010-Jul-20 06:49 UTC
[R] implement a jackknife resampling test with size of each jackknife replicate controlled
Dear R-help listes, I need your helps on implementation a jackknife resampling test. For example, I have a sample of 100 observations. I need to calculate the mean by jackknife resampling test. I just intend to sample 75% of the whole sample (say 75 in this case) in each 100 times of jackknife replicate to calculate the mean. Following are my codes =============================================================# firstly, I used the "jackknife" function in package "bootstrap" x <- rnorm(100) # my whole sample data library(bootstrap) theta <- function(x){mean(x)} # define the argument "theta" used in jackknife() results <- jackknife(x,theta) # I got the results but I do not know how many samples it resampled in each jackknife replicate. ============================================================# secondly, I want to build up a jackknife method with which can control the resampling size of each jackknife replicate. x <- rnorm(100) # my whole sample data Could you please give any helps on that? Your helps are very valuable for me. Best regards, Sincerely, Mao Jian-Feng