Hi Asena, If you already have microarray data, you can simply change some of the existing values to NA (datum Not Available). Say you have a toy 10x10 array containing absolute (initial) values:
array_values<-matrix(sample(0:400,100,TRUE),nrow=10) # create a 10% missing array array_values_10<-array_values array_values_10[sample(1:100,10)]<-NA # next a 20% missing array array_values_20<-array_values array_values_20[sample(1:100,20)]<-NA # and so on This is possible because a matrix can be indexed as though it was a vector. Jim On Sat, Aug 1, 2015 at 10:21 PM, asena ayça özdemir <a.aycaozde...@hotmail.com> wrote: > Hello Mr. FeldesmanI am a master student in biostatistic > my thesis about missing values in microarray data, but ý can't create any > values. > ý want to create %10, %20,...%90 missing values for all colums in microarray > data set . > Can you help me any code? > > thank you for your attention. > > > Asena Ayça ÖzdemirMersin University Biostatistics > [[alternative HTML version deleted]] > > > ______________________________________________ > R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see > 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. ______________________________________________ R-help@r-project.org mailing list -- To UNSUBSCRIBE and more, see 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.
