Hello Gurus I have two correlation matrices 'xa' and 'xb' set.seed(100) d=cbind(x=rnorm(20)+1, x1=rnorm(20)+1, x2=rnorm(20)+1)
d1=cbind(x=rnorm(20)+2, x1=rnorm(20)+2, x2=rnorm(20)+2) xa=cor(d,use='complete') xb=cor(d1,use='complete') I want to combine these two to get a third matrix which should have half values from 'xa' and half values from 'xb' x x1 x2 x 1.0000000 -0.15157123 -0.23085308 x1 0.3466155 1.00000000 -0.01061675 x2 0.1234507 0.01775527 1.00000000 I would like to generate a heatmap for correlation values in disease and non disease phenotype I would appreciate if someone can point me in correct direction. Thanks sharad -- View this message in context: http://r.789695.n4.nabble.com/correlation-matrix-tp3891085p3891085.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org 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.