Le mercredi 22 février 2012 à 04:51 -0800, aoife a écrit : > Because for example I've done this: > > I made a simple table: > > A B C > G1 1 34 231 > G2 231 1 0.1 > G3 12 0.02 23 > > > and ran a correspondance analysis on it using the ca package: > > > library(ca) > Loading required package: rgl > Warning messages: > 1: In rgl.init(initValue) : RGL: unable to open X11 display > 2: In fun(libname, pkgname) : error in rgl_init > > ca(table) > > Principal inertias (eigenvalues): > 1 2 > Value 0.924588 0.007655 > Percentage 99.18% 0.82% > > > Rows: > G1 G2 G3 > Mass 0.498950 0.435362 0.065689 > ChiDist 0.911602 1.079139 0.401921 > Inertia 0.414636 0.506996 0.010611 > Dim. 1 -0.947585 1.122145 -0.239642 > Dim. 2 -0.326025 -0.194244 3.763758 > > > Columns: > A B C > Mass 0.457683 0.065689 0.476628 > ChiDist 1.046690 0.943948 0.883798 > Inertia 0.501419 0.058531 0.372293 > Dim. 1 1.088538 -0.923587 -0.917983 > Dim. 2 -0.001466 -3.656541 0.505351 > > > But i'm having trouble actually visualising a graph? Does anyone know, is it > because of the rgl issue/ is there an alternative way to turn this > correspondance analysis results into a graph? Basically i just want to > picture this correspondance analysis results graphically, using any method > :( You only need rgl if you want to make a 3D plot of your CA. In most cases, that's not required. So just try: plot(ca)
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