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Hello, I have a data which looks like below: Some of the patients have multiple diagnosis. ID(200 patients)   Diag (100 unique Diag-200 in general)   Proc (50 uniqe Proc)  DOB (200)   Gender (200)    a                           daig1 b                           diag2 c                            diag1 I want to reformat this data to : ID   diag1 diag 2 diag 3..  diagx   proc1   proc2   proc3... procx  DOB  Gender a1011  20F Thanks a lot for your help and time.   Best,Farnoosh Sheikhi [[alternative HTML version deleted]]

Looks like the c(x)[...] bit used to be as.matrix(x)[...]. Not sure why the change was made many years ago, but this was before names were handled explicitly. It would definitely be better to not force the duplicate, at least in the case where we are sure c() and [ would not dispatch. Best, luke On Mon, 4 May 2015, peter dalgaard wrote: > >> On 04 May 2015, at 19:59 , franknarf

Is it possible to replace c() with .subset()? Example below #### #### library(microbenchmark) diag2 <- function(x,nrow, ncol){ if (is.matrix(x)) { if (nargs() > 1L) stop("'nrow' or 'ncol' cannot be specified when 'x' is a matrix") if ((m <- min(dim(x))) == 0L) return(vector(typeof(x), 0L)) # replace this part y <- .subset...

.... Why? Is there a workaround? library(vcd) data(Arthritis) # define Better Arthritis$Better <- Arthritis$Improved > 'None' arth.mod1 <- glm(Better ~ Age + Sex + Treatment , data=Arthritis, family='binomial') library(car) # influence plot #postscript(file="arthritis-diag2.eps", paper="special", height=6, width=6, onefile=TRUE, horizontal=FALSE) influencePlot(arth.mod1, main="Arthritis data: influencePlot") #dev.off() -Michael -- Michael Friendly Email: friendly AT yorku DOT ca Professor, Psychology Dept. York University Voice:...