Hi R User,
Would you give me some hints on how I can calculate bootstrapping mean+-SE for
each column based by group. I searched it but I could not get what I wanted.
For example I have these data set
data <- as.data.table(list(x1 = runif(200), x2 = runif(200), group =
runif(200)>0.5))
I wanted to have the table with real mean and bootstrapping mean (999times)
+-SE for each group (TRUE and FALSE) in each column (x1 and x2). It should be
simple but I could not.....
would you give me some hints? I will really appreciate for your help.
Thanks
KG
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