Dear all, I want to make a cross table out of a data set which is 2 columns wide and more than 150000 rows long. When I use the table() function I get an error message
This is the code I have used: >Dataset <- read.table("test.txt", header=TRUE, sep=",", na.strings="NA", dec=".", strip.white=TRUE) > .T <-table(Dataset$K1,Dataset$K2) This is the error message I have received >Error in vector("integer", length) : vector size specified is too large >In addition: Warning messages: >1: NAs introduced by coercion >2: NAs introduced by coercion Is it possible to make a cross table with the table() function on a large dataset or should I consider using another function? I have had a look at the ?table help file but I could find any information on the size of the dataset. Thanks very much in advance for any help:-) Kind regards, CĂ©line. -- View this message in context: http://www.nabble.com/Creating-a-cross-table-out-of-a-large-dataset-tf4153948.html#a11818590 Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@stat.math.ethz.ch mailing list https://stat.ethz.ch/mailman/listinfo/r-help PLEASE do read the posting guide http://www.R-project.org/posting-guide.html and provide commented, minimal, self-contained, reproducible code.