[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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