Here is an example that produces the same error: Read in the following as textfile (save as DFExample.txt):
1 2 3 4 7 8 9 10 12 13 14 15 16 17 18 19 21 22 23 25 27 28 29 30 31 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 58 59 60 61 62 63 64 65 66 67 68 69 70 71 72 73 74 75 76 77 78 79 80 AX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 1 0 0 1 1 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 1 25 5 9 1 8.5 2.5 3 5 2 2 3 3 1 1 1 2 1 2 BX 1 1 0 0 1 0 0 1 NA NA NA 0 0 0 0 1 0 0 1 0 0 1 0 NA NA NA NA NA NA NA NA 0 0 0 1 0 NA NA NA NA NA NA NA 0 0 0 0 1 1 0 0 0 1 1 NA NA 6 1 3.25 2.25 5 5 2 2 3 3 1 1 1 1 1 1 CX 1 1 0 0 1 0 0 1 1 0 0 0 1 0 1 0 0 1 0 1 0 0 0 0 1 1 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 0 0 15 3.5 6 1 5.5 5.5 5 5 2 2 1 2 1 1 1 1 2 2 DX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 1 0 1 0 0 0 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 1 0 1 0 1 0 1 0 50 17.5 7.5 2.5 8.5 5 5 5 2 2 2 3 1 1 1 1 3 3 EX 1 0 1 0 1 0 0 1 NA NA NA 0 0 0 1 1 0 1 1 0 1 0 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 1 0 NA NA 14.5 30 13 2.5 3 3 1 1 4 4 1 1 1 1 1 1 FX 1 0 1 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 1 0 1 0 0 0 1 1 1 0 0 1 1 0 0 0 1 1 1 0 0 0 1 0 0 0 0 0 1 0 1 0 1 1 0 0 165 25 11.5 15 12 6.5 5 5 1 1 3 3 1 1 1 1 4 5 GX 1 0 1 0 1 0 0 1 0 0 1 0 0 0 0 1 1 1 0 0 1 0 0 0 0 0 1 0 0 1 1 0 1 0 0 1 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 1 0 40 20 14.5 9.5 11 10 3 3 1 1 1 3 1 1 3 4 1 3 HX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 NA NA NA NA NA NA NA NA NA NA NA NA NA 1 0 0 0 1 0 0 0 0 0 0 0 1 1 1 0 1 0 70 18.5 1 12.5 7.2 7.2 5 5 2 2 3 3 3 3 1 1 2 4 JX 1 0 1 0 1 0 0 1 0 0 0 0 0 1 1 0 0 1 0 1 0 0 0 0 1 0 1 0 0 0 0 0 1 1 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 1 0 65 9 11 18 4.5 3.75 1 3 2 3 2 2 1 1 1 1 2 2 KX 1 0 1 0 1 0 0 1 NA NA NA 0 0 1 0 0 0 0 1 0 1 0 0 0 0 0 1 1 0 0 1 0 0 1 1 0 0 1 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 0 NA NA 4.25 4.5 2.1 1.6 3 3 2 2 2 3 1 1 1 2 1 1 LX 1 0 0 1 1 0 0 1 0 1 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0 1 1 0 0 1 1 0 0 0 0 1 0 0 0 0 0 0 1 0 0 1 0 0 0 0 1 0 80 32.5 13 4 8.5 5.25 2 3 3 3 3 3 1 1 1 1 3 4 MX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 1 1 0 1 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 1 1 0 0 0 0 0 0 0 0 0 1 45 7.5 14 1 11 5.5 3 4 2 2 3 3 1 1 1 1 2 3 NX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 1 0 0 1 0 0 1 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 42.5 12.5 17.5 1 11 NA 5 5 2 2 3 3 1 1 1 1 1 2 OX 1 1 0 0 1 0 0 1 NA NA NA 0 0 0 0 1 0 0 1 0 1 0 1 0 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 1 0 0 1 0 0 0 0 0 1 NA NA 25 1 25 NA 3 4 1 2 3 3 1 1 3 3 1 1 PX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 1 1 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 42.5 11.5 21.5 2 25 NA 4 5 2 2 3 3 1 1 1 2 1 2 QX 1 1 0 0 1 0 0 1 NA NA NA 0 0 0 1 1 0 0 1 1 0 0 0 0 1 1 1 0 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 NA NA 27.5 1.5 19 NA 3 3 2 2 3 3 1 1 1 2 1 1 RX 1 1 0 0 1 0 0 1 NA NA NA 0 0 0 0 1 0 1 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 NA NA 30 1 24 NA 3 4 2 2 3 3 1 1 3 3 1 1 SX 1 1 0 0 1 0 0 1 0 0 1 0 0 0 1 1 0 1 0 1 0 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 47.5 20 22.5 2 15 NA 5 5 2 2 3 3 1 1 1 1 2 2 TX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 1 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 40 11 15 1.5 11.5 NA 5 5 2 3 3 3 1 1 1 1 2 2 UX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 65 35 39 2.5 20 NA 3 4 2 2 3 3 1 1 2 2 1 2 VX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 1 1 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 85 10.5 19.5 1.5 13.5 NA 5 5 2 3 3 3 1 1 2 2 2 2 WX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 1 1 1 0 0 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 155 18 30 2 17.5 NA 5 5 2 3 3 3 1 1 1 2 2 3 XX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 0 0 1 90 10.5 25 1 19 NA 5 5 2 2 3 3 1 1 1 1 2 3 YX 1 1 0 0 1 0 0 1 NA NA NA 0 0 0 0 1 0 0 1 1 1 1 0 0 0 1 0 1 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 NA NA 30 2.5 20.25 NA 3 3 2 2 3 3 1 1 2 2 1 1 ZX 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 0 1 0 0 0 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 0 1 105 25 37.5 1 37.5 2.25 5 5 2 3 3 3 1 1 1 1 2 2 AY 0 1 1 0 1 1 1 0 1 0 0 0 0 0 0 1 0 1 1 0 0 1 0 1 0 1 0 0 0 0 0 0 0 0 1 1 0 1 0 0 0 0 0 0 0 0 0 1 1 0 0 1 0 0 85 6.5 11.5 3 11.5 3.25 5 5 2 2 3 4 1 1 1 2 2 4 BY 0 0 1 0 1 0 1 0 0 1 0 0 0 0 0 1 0 1 0 1 0 1 0 0 1 0 1 0 0 0 0 0 1 1 0 0 0 1 0 0 1 0 0 0 0 0 1 1 0 0 0 0 1 0 38 10 6.5 8 3 2.5 4 5 2 2 2 3 1 1 1 2 2 3 CY 0 1 0 0 0 1 1 0 1 0 0 0 1 1 1 1 0 1 0 0 1 0 0 1 1 0 0 0 0 0 1 0 1 1 1 1 1 1 0 0 0 0 0 0 0 0 1 0 1 0 0 1 0 0 15 3.5 5 1.5 3.25 3.5 5 5 2 3 2 2 1 1 1 1 2 2 DY 0 1 0 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 1 0 0 1 0 NA NA NA NA NA NA NA NA NA NA NA NA NA 1 0 0 0 0 0 0 0 0 1 0 0 1 0 0 1 0 0 70 20 NA NA 5.5 3.5 5 5 3 3 3 3 3 3 1 1 9 9 EY 0 0 0 1 1 0 0 1 1 0 0 0 0 0 0 1 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 20 7 8 25 5.5 3.25 3 3 3 3 3 3 1 1 1 1 2 2 FY 0 0 0 1 1 0 0 1 0 1 0 0 0 0 0 1 0 0 1 0 1 0 0 0 1 0 1 0 0 0 0 0 0 1 1 1 1 0 0 0 1 0 0 0 0 0 1 0 1 0 0 0 1 0 150 25 13 24 11.5 4.5 5 5 3 3 4 4 1 1 1 1 5 6 GY 0 0 0 1 1 0 0 1 1 0 0 0 0 0 0 1 0 0 1 0 1 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0 0 0 0 0 1 0 50 15 12.5 17.5 8.5 5.75 3 3 3 3 2 3 1 1 1 1 2 3 HY 0 1 0 0 0 1 0 1 0 1 0 0 0 0 0 1 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 1 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 1 0 110 15 9.5 7.5 11 3.35 5 5 3 3 4 4 3 3 1 1 4 5 JY 0 0 0 1 1 0 0 1 1 1 0 0 1 1 0 0 0 1 0 1 0 0 0 0 0 1 0 1 0 0 0 0 1 0 0 0 0 1 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 60 11.5 10 30 3.25 3.75 3 3 2 2 1 1 1 1 1 1 2 3 KY 0 0 0 1 1 0 0 1 NA NA NA 1 0 1 0 0 1 0 1 0 1 1 0 1 1 0 1 0 0 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 1 0 0 0 1 0 1 NA NA 6.5 23 2.25 1 1 2 2 2 3 3 1 1 2 2 2 2 LY 0 0 1 0 1 0 0 1 0 1 0 0 0 0 1 0 0 1 0 1 1 0 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 0 0 0 0 0 0 1 1 0 0 0 1 0 0 52.5 20 11 5 6.25 4.25 2 2 2 2 3 3 1 1 1 1 2 4 MY 0 1 1 0 0 1 0 1 0 1 0 0 1 1 0 0 0 0 1 0 1 0 0 0 0 0 1 1 0 0 0 0 1 0 0 0 0 0 1 0 0 1 0 0 0 0 1 0 0 0 0 1 0 0 60 15 3 15 1.5 1.25 5 5 2 2 2 2 1 1 1 1 6 6 NY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 1 1 0 1 1 0 1 1 0 0 0 1 1 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 50 14 3.75 25 2.85 2.4 5 5 2 2 1 2 1 1 1 1 5 6 OY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 1 0 0 1 0 0 1 0 1 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 0 45 14 4 15 2.75 1.75 5 5 2 2 2 3 1 1 2 3 5 5 PY 0 0 1 1 0 1 0 1 0 1 0 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 1 0 0 1 0 0 1 1 1 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 1 60 18.5 3.75 15 2.75 2.1 5 5 2 2 2 3 1 1 1 2 4 6 QY 0 0 1 0 0 1 0 1 0 1 0 0 0 1 1 1 0 0 1 1 0 1 0 0 1 1 1 0 0 0 0 0 0 1 1 0 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 0 1 290 90 8.5 22.5 2.75 2.25 5 5 2 2 2 3 1 1 1 2 7 7 RY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 1 0 0 1 0 0 0 0 1 0 0 1 0 0 1 1 1 0 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 0 1 0 55 15.5 7.5 14 7 2.25 5 5 2 2 3 3 1 1 2 3 2 4 SY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 0 0 0 0 0 0 1 0 0 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 1 0 55 20 5.5 30 4.5 2.5 5 5 2 2 3 3 1 1 1 1 4 5 TY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 1 0 1 1 0 0 0 0 1 0 0 1 0 0 1 1 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 1 0 0 40 15 4.5 25 2.75 1.75 5 5 2 2 3 3 1 1 1 1 4 6 UY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 1 1 0 0 1 1 0 0 0 0 0 1 1 0 0 1 0 0 1 0 1 0 0 1 0 1 1 0 0 0 0 0 1 1 0 0 0 0 1 0 200 27.5 6.5 25 2.45 2.25 5 5 2 2 2 3 1 1 1 2 7 7 VY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 1 1 0 0 1 1 0 1 0 0 1 0 1 0 0 1 0 0 1 1 1 0 0 0 0 0 1 0 0 0 0 0 0 1 1 0 0 0 1 0 135 17.5 5.5 17.5 2.75 2.25 5 5 2 2 2 3 1 1 1 2 5 7 WY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 0 1 0 0 1 1 0 0 0 0 1 0 1 0 0 1 1 0 1 0 1 1 0 0 0 0 1 0 0 0 0 0 0 1 0 0 0 1 0 1 240 35 5.5 14 3.25 2.75 5 5 2 2 2 3 1 1 1 2 7 7 XY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 1 1 0 0 1 1 0 0 0 0 0 1 0 0 0 1 0 0 1 0 0 0 0 0 0 1 1 0 0 0 0 0 0 1 0 0 0 1 0 0 175 27.5 4 10.5 2.5 1.875 5 5 2 2 2 2 1 1 1 1 6 7 YY 0 0 1 0 0 1 0 1 0 1 0 0 0 0 1 1 0 0 1 1 0 1 0 0 1 1 1 0 0 0 0 0 0 0 1 0 0 0 0 0 1 0 0 0 0 0 1 1 0 0 0 0 0 1 230 42.5 5.6 25 2.5 2.5 5 5 2 2 2 2 1 1 1 2 5 7 ZY 0 1 0 0 0 1 0 1 0 1 0 0 0 0 1 0 0 1 0 0 0 1 0 0 0 0 0 0 0 0 1 0 0 0 0 1 1 0 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0 1 115 35 10.5 20 7.5 6.5 5 5 1 1 3 3 1 1 1 3 4 5 using this: library(methods) setClass("of") setAs("character", "of", function(from) as.ordered(from)) Classe72<-cclasses <- c(rep("factor", 55), rep("numeric",6), rep ("of", 12)) DFExample<-read.table("DFExample.txt", header=TRUE,row.names=1, na.strings="NA" ,colClasses = Classe72) then "party with the mob": library(party) Test.mob<-mob(X1~1|X34+X45+X73, data=DFExample, model=glinearModel, family=binomial()) Fehler in `[.data.frame`(x, r, vars, drop = drop) : undefined columns selected B. Birgitle wrote: > > I try tu use mob() with my data.frame ('data.frame': 288 obs. of 81 > variables; factors, numerics and ordered factors) > My response is a binary variable and I should use for modelling a logistic > regression (family=binomial). > > I read in the "MOB" Vignette that I could use a formula like this if I > would like to have only partitioning variables apart from the response. > > Test.mob<-mob(Resp~1|Var1+Var2+...., data=dataframe, model=glinearModel, > family=binomial()) > ... > > ----- The art of living is more like wrestling than dancing. (Marcus Aurelius) -- View this message in context: http://www.nabble.com/mob%28party%29-formula-question-tp18959898p18961688.html Sent from the R help mailing list archive at Nabble.com. ______________________________________________ R-help@r-project.org mailing list 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.