Hi:
There are two ways you could go about this: lists or arrays. It's
pretty easy to generate an array, a little more work to get the list.
I'm assuming the objective is to extract a chi-square statistic from
each table, so I'll show a couple of ways to do that, too.
library('plyr')
## Start wit
You could try something like this:
tables <- lapply(seq(100), function(i) table(.y[sample(nrow(.y),
200), ]))
Then you could conduct the chi-squared tests
chisqs <- lapply(tables, chisq.test)
and save the values
.z <- sapply(chisqs, "[[", "statistic")
Jean
---
Simon Kis
.
HI there,
I'd like to show demonstrate how the chi-squared distribution works, so I've
come up with a sample data frame of two categorical variables
y<-data.frame(gender=sample(c('Male', 'Female'), size=10, replace=TRUE,
c(0.5, 0.5)), tea=sample(c('Yes', 'No'), size=10, replace=TRUE, c(
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