[R] Stepwise Discriminant Analysis - greedy.wilks
martanair
marta.nairuscone at unicatt.it
Wed Jun 20 01:15:31 CEST 2012
I don't understand which is the problem
Could you help me please?
Thanks in advance
Marta
> str(data_indiciN2)
'data.frame': 200 obs. of 36 variables:
$ gruppo: Factor w/ 2 levels "0","1": 2 2 2 2 2 2 2 2 2 2 ...
$ I001N2: num 19.32 8.22 28.35 7.24 14.7 ...
$ I002N2: num 2.92 2.54 0.11 1.6 7.12 ...
$ I003N2: num -22.362 -0.222 -19.291 -21.553 2.935 ...
$ I004N2: num 100 100 100 100 9.48 ...
$ I005N2: num 100 100 100 100 5.99 ...
$ I006N2: num 3.688 2.975 17.717 3.694 0.278 ...
$ I007N2: num 200 200 200 200 12.6 ...
$ I008N2: num 7.01 8.74 3.59 5.87 3.01 ...
$ I009N2: num -18.75 -2.14 -1.29 -18.79 1.27 ...
$ I010N2: num -25.75 -10.88 -4.88 -24.66 -1.74 ...
$ I011N2: num 3.12 3.68 1.26 2.34 1.96 ...
$ I012N2: num 2.85 3.46 1.26 2.24 1.33 ...
$ I013N2: num 2.85 3.46 1.26 2.24 1.33 ...
$ I014N2: num 0 0.796 0.576 0.248 1.187 ...
$ I015N2: num -187.17 -37.73 1.61 -101.2 1.32 ...
$ I016N2: num 0.929 0.884 0.131 0.655 1.06 ...
$ I017N2: num 0.431 0.219 0.131 0.561 0.996 ...
$ I018N2: num -0.9855 0.22449 0.43248 -0.00575 1.18704 ...
$ I019N2: num -39.291 -1.346 -15.589 -22.193 0.485 ...
$ I020N2: num -15.266 -5.536 0.503 -22.513 0.159 ...
$ I021N2: num -31.9962 -3.4831 6.0837 -26.5905 0.0608 ...
$ I022N2: num 0.4771 1.5894 0.0827 0.8466 2.6159 ...
$ I023N2: num 0.37 0.219 0.409 0.562 0.684 ...
$ I024N2: num 100 100 -68.3 100 43.9 ...
$ I025N2: num 0.4771 1.5894 0.0827 0.8466 2.6159 ...
$ I026N2: num 100 79.94 100 100 2.84 ...
$ I027N2: num 0 0.4 0 0 2.2 ...
$ I028N2: num -282.14 -50.56 -52.44 -7.79 28.54 ...
$ I029N2: num -20.47 -1.74 7.87 -19.68 1.77 ...
$ I030N2: num 7.19 27.25 25.28 100 2.68 ...
$ I031N2: num -100 -100 8.989 -100 0.598 ...
$ I032N2: num 75.4 67 59 0 95.2 ...
$ I033N2: num 17.45 5.74 6.74 100 1.49 ...
$ I034N2: num 0.472 0.815 0.482 0.399 1.557 ...
$ I035N2: num 0 1 100 100 100 100 100 100 0 100 ...
> gw_obj <- greedy.wilks(gruppo~., data = data_indiciN2,niveau = 0.1)
Errore in summary.manova(e2, test = "Wilks") : residuals have rank 2 < 3
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