There are lots of ways to do this. You have to decide on how you want to
organize the results.
Here are two ways that use only core R packages. Many people like the plyr
package for this
split-data/analyze-parts/combine-results sort of thing.
> df <- data.frame(x=1:27,response=log2(1:27),
Hi R experts!
I would like to have a scripted solution that will iteratively subset data
across many variables per factor level of each variable.
To illustrate, if I create a dataframe (df) by:
variation <- c("A","B","C","D")
element1 <- as.factor(c(0,1,0,1))
element2 <- as.factor(c(0,0,1,1))
re
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