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Hello all, Apologize for the newbie question. What's the easiest way to do a SQL inner table join in R? Say I have a table containing column names A, B, C and another which has columns named C, D, E. I would like to do an inner table join on C and produce a table A, B, C, D, E. thanks a lot, N. -- View this message in context:

Hi all, I am saving a program's output to a file to be read by another algorithm. But somehow such a simple operation (the reading) fails. I get: Error in read.table("a_corr_data.txt", sep = ",", col.names = T, row.names = F) : more columns than column names Here is the write statement:

Hello all, I have to import numeric data from file but found it contains Infinite values which need to be eliminated. I tried to replace them in this way: data[which(data=="-Inf")] <- -0.3 data[which(data=="+Inf")] <- 0.3 But, somehow, the Infinite values stayed there. Any suggestions? regards, N. -- View this message in context:

Hi, I have Agilent and Illumina SNP data. That's the only thing I know about the files - there seem to be no version specification in any of them. Is there a generic genotype calling algorithm that I could try to use on these datasets? thanks, N. -- View this message in context: http://www.nabble.com/generic-genotype-calling-algorithm--tp23141124p23141124.html Sent from the R help