search for: usubjid

...umber of data points n.params <- dim(anal.data)[2] - 2  # number of parameters to estimate n.sites <- length(unique(SITEID))                                                                     data.bugs <- list("NAUSEA"=NAUSEA,"SITEID"=SITEID,"BMI"=BMI, "USUBJID"=USUBJID,"n.samples"=n.samples,"n.sites"=n.sites,"n.params"=n.params) bugsData(data.bugs, fileName = "nauseadata.txt") inits.bugs <- list("b"=rep(0,n.params),"alpha"=rep(0,n.sites), "tau"=1) bugsInits(list(inits.bugs), fi...

...WAL 2005-08-29 I can get the max date and the id 2 different ways: > do.call("rbind", lapply(split(dat, dat$id), function(x) data.frame(id = x$id[1], max_date = max(x$date)))) id end 1 1 2005-08-29 2 2 2005-08-29 3 3 2005-08-29 OR > aggregate(dat$date, list(USUBJID=dat$id),FUN="max") USUBJID x 1 1 13024 2 2 13024 3 3 13024 (which oddly returns some number of days after 1-1-1970 iso of the max as a date value) I’d like to do this without looping or filtering for date and usubjid if possible. If there is a way to re...

Hi everybody I have a large number of Excel speadsheets that I want to merge into one R dataframe to process. I can read them one by one with read.xls but I really need a function to read a whole directory at once and merge the columns with the same name into a single dataframe. here is what I have thus far (on Mac OS X 10.5.2. for R 2.8.0): # Define the directory where the data is