jones christian
2006-May-22 12:47 UTC
[R] what are supressors doing in hierarchical partitioning??
Hello, After fitting a model with glm (glm(A~a+b+c+d,binomial)) I want to have a closer look at the goodness of fit for each of the 4 independant variables by using "hierarchical partitioning". The results (see below) indicate that three variables (MEDIANH_HE+CLOJUL+K95) act as a supressor because their dependant contribution is negative. For two variables the total contribution is near 0 (CLOJUL+N5_97). Surprisingly all variables are highly significant in the glm model. How can that be? And do the results from hierarchical partitioning mean that I better not use this model for prediction??? (PS: I went to a lot of effort fitting this model) many thanks in advance Christian> hier.part(NACHTIGALL.x,A2HP_N5,family="binomial",gof="logLik",barplot=T)$gfs [1] -131.61028 -106.38458 -131.60991 -124.60603 -131.51891 -101.70663 [7] -102.38016 -105.11808 -124.55582 -131.51761 -124.31356 -98.96125 [13] -98.59341 -100.65798 -124.29683 -95.51063 $IJ I J Total MEDIANH_HE 26.895004 -1.669303 2.522570e+01 CLOJUL 2.511079 -2.510707 3.721918e-04 K95 5.245935 1.758320 7.004255e+00 N5_97 1.447637 -1.356262 9.137552e-02 $I.perc I MEDIANH_HE 74.502107 CLOJUL 6.955965 K95 14.531814 N5_97 4.010114 --