Does SQL group by have a heavy duty equivalent in R
I converted the whole data frame to character by using as.matrix
You shouldn't need to do that.
And then using a posting that explained how to get the naming conventions
back (which had been lost when converting to matrix)
Anything that I did not list with the id's it insisted in including them
with the measured variables. In other words it would not let me drop.
despite
melted<-melt(BigDF, id=c("SAMPLE_ID","ASSAY_ID"),
measured=c("GENOTYPE_ID","DESCRIPTION"))
That should be measure=c(...) Hadley