Hi, One way to do that is this (avoiding the use of a for loop):
l.txt<- "id category attribute1 attribute2 attribute3 attribute4 661 SCHS 43.2 0 56.5 1 12202 SCHS 161.7 5.7 155 16 1182 SCHS 21.4 0 29 0 1356 SSS 8.8182 0.1818 10.6667 0.6667 1864 SCHS 443.7273 9.9091 537 46 12360 SOA 6.6364 0 10 0 3382 SOA 7.1667 0 26 0.5 1033 SOA 63.9231 1.5385 91.5 11.5 14742 SSS 4.3846 0 8 0 12760 SSS 425.0714 1.7857 297.5 3.5 " dat.df <- read.table(textConnection(l.txt), header=T, as.is = TRUE) closeAllConnections() dat.lt<-by(dat.df[,3:6], dat.df$category, cor) lapply(dat.lt,corrplot) Regards, Carlos Ortega www.qualityexcellence.es 2011/10/11 gj <gaw...@gmail.com> > Hi, > > I want to do a visualisation of a matrix plot made up of several plots of > correlation matrices (using corrplot()). My data is in csv format. Here's > an > example: > > id,category,attribute1,attribute2,attribute3,attribute4 > 661,SCHS,43.2,0,56.5,1 > 12202,SCHS,161.7,5.7,155,16 > 1182,SCHS,21.4,0,29,0 > 1356,SSS, 8.8182,0.1818,10.6667,0.6667 > 1864,SCHS,443.7273,9.9091,537,46 > 12360,SOA,6.6364,0,10,0 > 3382,SOA,7.1667,0,26,0.5 > 1033,SOA,63.9231,1.5385,91.5,11.5 > 14742,SSS,4.3846,0,8,0 > 12760,SSS,425.0714,1.7857,297.5,3.5 > > I can get rid of the id. But I need the 'category' as a way of > distinguishing the various correlation matrices. > I can do a plot of the correlation matrix using corrplot() function in the > corrplot package (ignoring the id and category). But what I need is a > matrix > of the plots of each correlation matrix based on the category, ie I have > three categories in the data, hence I will need three plots of the > correlation matrix in one diagram (because the correlation matrix only > makes sense if they are distinguished by category). > > Any help? > > Regards > Gawesh > > [[alternative HTML version deleted]] > > ______________________________________________ > 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. > [[alternative HTML version deleted]] ______________________________________________ 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.
