Torsten Hothorn <[EMAIL PROTECTED]> writes: > > Hello R lovers > > I have written a little cute function to count the number of missing value > > per row in a matrix and return the percentage of missing value > > > > R> M <- matrix(rnorm(25), ncol=5) > R> diag(M) <- NA > R> M[2,3] <- NA > R> apply(M, 2, function(x) sum(is.na(x)))/ncol(M) > [1] 0.2 0.2 0.4 0.2 0.2 > > the percentage of missing values per row...
Or: > apply(is.na(M), 2, mean) [1] 0.2 0.2 0.4 0.2 0.2 (Actually, that's the proportions. ...*100 for percentages) -- O__ ---- Peter Dalgaard Blegdamsvej 3 c/ /'_ --- Dept. of Biostatistics 2200 Cph. N (*) \(*) -- University of Copenhagen Denmark Ph: (+45) 35327918 ~~~~~~~~~~ - ([EMAIL PROTECTED]) FAX: (+45) 35327907 ______________________________________________ [EMAIL PROTECTED] mailing list https://www.stat.math.ethz.ch/mailman/listinfo/r-help
