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...way to calculate point biserial correlation? HELP: I am a little confused about what to do. I just need to obtain the correlation index and p-value. Could I just use cor.test? Or is necessary to use other command or even "Professor Fox's package polycor"? Thanks in advance, Cadu 1. http://r.789695.n4.nabble.com/Point-biserial-correlation-td862060.html 2. http://r.789695.n4.nabble.com/Correlation-dichotomous-factor-continous-numer ical-and-ordered-factor-td865214.html#a865215 [[alternative HTML version deleted]]

I've been working at this for a few days now and I can't figure out what is broken. Google turns up similar issues from years back, but I hope this is a bug resurfacing. ACL entries are being deleted when files are saved. Here is an example: username: user1 group membership: Domain Users directory: /share/test file: test.xls getfacl /share # file: share # owner: DOMAIN+backupuser #

Hi all, I am working with a spatial data set for which I am only interested in high concentration values ("leaks"). The low values (< 90th percentile) have already been turned into NA's, leaving me with a matrix like this: < CH4_leak lon lat CH4 1 -71.11954 42.35068 2.595834 2 -71.11954 42.35068 2.595688 3 NA NA NA 4 NA

I am trying to create a frequency distribution and I am a bit confused. Here are the commands I have entered: > data <- read.csv(file="40609_sortedfinal.csv",head=TRUE,sep=",") > NumberOfActionsByStatus = data$STATUS > NumberOfActionsByUser = data$ETS_LOGIN > NumberOfBidOffer = data$BID_OFFER > NumberOfActionsByUser.freq = table(NumberOfActionsByUser) >