Hi R Folk I have been kicking some data around and one thing has been to try a PC analysis on it, but whereas in the online examples I've looked at the prcomp function gives a set of five outputs when I use the prcomp function it only gives me a set of standard deviations and the rotation matrix
My data (pcl) is this: resmat.3...2. resmat.3...3. resmat.3...4. 1 0.08749276 0.015706470 0.259 2 0.08749276 0.039266176 0.198 3 0.10630841 0.047119411 0.235 4 0.25307047 0.062825881 0.374 5 0.14393971 0.117798527 0.534 6 0.23049169 0.023559705 0.355 7 0.15052518 0.007853235 0.179 8 0.09784137 0.031412940 0.219 9 0.09878215 0.039266176 0.301 10 0.14111736 0.157064702 0.285 11 0.03951286 0.015706470 0.036 12 0.16181457 0.125651762 0.324 13 0.13359110 0.031412940 0.304 14 0.08278885 0.031412940 0.221 15 0.08561120 0.023559705 0.207 16 0.12042015 0.039266176 0.194 17 0.13359110 0.047119411 0.164 18 0.08937433 0.047119411 0.216 19 0.12700562 0.023559705 0.230 the output is then > prcomp(pcl,scale.=T) Standard deviations: [1] 1.4049397 0.8447366 0.5590747 Rotation: PC1 PC2 PC3 resmat.3...2. 0.5599782 -0.64434772 -0.5208075 resmat.3...3. 0.5229417 0.76245515 -0.3810434 resmat.3...4. 0.6426168 -0.05897597 0.7639146 Does anyone know why the other things are not appearing? Thanks, Nick [[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.