Hi, The values are calculated on the fly in the summary function
stats:::print.summary.princomp using vars <- result$sdev^2 vars <- vars/sum(vars) cumsum(vars) Martyn -----Original Message----- From: r-help-boun...@r-project.org [mailto:r-help-boun...@r-project.org] On Behalf Of ian_zhangty Sent: 16 March 2011 14:19 To: r-help@r-project.org Subject: [R] How to read "Cumulative proportion" in using princomp? Dear all, > result<-summary(princomp(x,cor=TRUE)) >result Importance of components: Comp.1 Comp.2 Comp.3 Comp.4 Standard deviation 1.642136 1.0114376 0.45146892 0.27669119 Proportion of Variance 0.674153 0.2557515 0.05095605 0.01913950 Cumulative Proportion 0.674153 0.9299044 0.98086050 1.00000000 I want to read Cumlative Proportion listed above. But I cannot find it in result, instead, R gives me followed, which is not same with above: >result[2] $loadings Loadings: Comp.1 Comp.2 Comp.3 Comp.4 YC.T 0.183 0.935 0.250 0.172 YC.Rad 0.581 -0.130 -0.413 0.689 YC.Rain -0.537 0.308 -0.784 YC.ETPM 0.583 0.119 -0.389 -0.703 Comp.1 Comp.2 Comp.3 Comp.4 SS loadings 1.00 1.00 1.00 1.00 Proportion Var 0.25 0.25 0.25 0.25 Cumulative Var 0.25 0.50 0.75 1.00 I am wondering how can I calculate "Cumulative Proportion" in the first result. Thank you very much -- View this message in context: http://r.789695.n4.nabble.com/How-to-read-Cumulative-proportion-in-using -princomp-tp3381881p3381881.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. ________________________________________________________________________ This e-mail has been scanned for all viruses by Star.\ _...{{dropped:12}} ______________________________________________ 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.
