sub setting a data frame with binomial responses
Hi everyone, Let me have a dataframe named ?mydata? and created as below, *> n=c(5,5,5,5) #number of trils
x1=c(2,3,1,3) ) #number of successes x2=c(5,5,5,5) #number of successes x3=c(0,0,0,0) #number of successes x4=c(5,0,5,0) #number of successes mydata=data.frame(n,x1,x2,x3,x4) mydata*
n x1 x2 x3 x4 1 5 2 5 0 5 2 5 3 5 0 0 3 5 1 5 0 5 4 5 3 5 0 0 But for my modeling purposes(binomial), I cannot have a dataframe which has all success columns, all failure columns or only the success and failure columns. That is I need to delete x2, x3 and x4 from my data.frame I can delete x2 and x3 as follows *mydata = t(subset(t(mydata), rowSums(t(mydata)) > 0)) mydata = t(subset(t(mydata), rowSums(t(sim.data)) < 20)) #where 20=4*5* How can I subset my data by removing x4, which contains either number trials or zeros as elements? Can I give a single logical condition in the subset code to skip all such rows(i.e. skipping x2,x3, and x4 at once)? *** I am doing this for a very large dataframe(1000s of columns as responses) in a simulation study, but here I explained with a simple case. Thank you for your kindness! -- View this message in context: http://r.789695.n4.nabble.com/sub-setting-a-data-frame-with-binomial-responses-tp4638702.html Sent from the R help mailing list archive at Nabble.com.