Hi,
I have a problem with the output of my anova.
> Tabelle2 <- data.frame(sb_ek_ber, JE, ABWHALT_C, ALLEINF,
Alter_Ältester_inklVN_C, Alter_Jüngster_C_inkl_AlterNutz, ALTERKAU_C, Wuerfel,
BEGKUNDE_C, Geoscore_C, GESCHL_VN,
+ NUTZART, NUTZKREIS, NICHTK_C_korrigiert, TARIFDAT_C, TARIFGRP_C, WOHNEIGEN,
WOHN_C, ZWEITFAHRZ, ZAHLWEISE, LASTSCHR)
str(Tabelle2)
'data.frame': 1237838 obs. of 21 variables:
$ sb_ek_ber : num 0 0 0 0 0 0 0 0 0 0 ...
$ JE : num 0.1972 0.2222 0.0972 0.5694 0.5 ...
$ ABWHALT_C : Factor w/ 3 levels
"0","1","2": 2 2 2 2 2 2 2 2 2 2 ...
$ ALLEINF : Factor w/ 4 levels
"0","1","2","3": 3 3 4 4 4 4 3 4 4 4 ...
$ Alter_Ältester_inklVN_C : Factor w/ 7 levels
"0","59","60",..: 2 2 2 2 2 3 2 2 2 2 ...
$ Alter_Jüngster_C_inkl_AlterNutz: Factor w/ 10 levels
"0","17","18",..: 10 10 10 10 10 10 10 10 10 10
...
$ ALTERKAU_C : Factor w/ 8 levels
"0","1","4","7",..: 1 1 1 3 3 1 3 3 4 4
...
$ Wuerfel : Factor w/ 6 levels
"1","2","3","4",..: 1 4 5 6 2 6 3 1 3 1
...
$ BEGKUNDE_C : Factor w/ 11 levels
"0","1","2","3",..: 3 3 3 3 3 3 2 3 3 3
...
$ Geoscore_C : Factor w/ 8 levels
"0","1","2","3",..: 6 6 8 1 8 7 8 2 4 4
...
$ GESCHL_VN : Factor w/ 4 levels
"0","1","2","3": 3 3 3 2 2 3 3 2 3 3 ...
$ NUTZART : Factor w/ 3 levels
"0","1","2": 2 2 2 2 2 2 2 2 2 2 ...
$ NUTZKREIS : Factor w/ 4 levels
"0","1","2","3": 2 2 4 3 3 3 2 4 3 3 ...
$ NICHTK_C_korrigiert : Factor w/ 4 levels
"0","1","2","99": 1 1 1 1 1 1 1 1 1 1
...
$ TARIFDAT_C : Factor w/ 9 levels
"0","1","2","3",..: 3 3 3 3 3 3 3 3 3 3
...
$ TARIFGRP_C : Factor w/ 5 levels
"10","30","50",..: 1 1 1 1 1 1 4 1 1 1 ...
$ WOHNEIGEN : Factor w/ 5 levels
"0","1","2","3",..: 5 5 4 5 5 4 5 3 4 4
...
$ WOHN_C : Factor w/ 5 levels
"0","1","2","3",..: 5 5 2 5 5 2 5 2 2 2
...
$ ZWEITFAHRZ : Factor w/ 4 levels
"0","1","2","3": 4 4 4 4 4 4 4 4 4 4 ...
$ ZAHLWEISE : Factor w/ 5 levels
"0","1","2","4",..: 2 2 2 2 2 4 4 2 2 2
...
$ LASTSCHR : Factor w/ 4 levels
"0","1","2","9": 2 2 2 2 2 2 2 2 2 2 ...
anova(ypoi, test="Chisq")
Analysis of Deviance Table
Model: poisson, link: log
Response: sb_ek_ber
Terms added sequentially (first to last)
Df Deviance Resid. Df Resid. Dev Pr(>Chi)
NULL 1237837 4.4998e+10
ABWHALT_C 2 244353722 1237835 4.4754e+10 < 2.2e-16 ***
Wuerfel 5 63772679 1237830 4.4690e+10 < 2.2e-16 ***
Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
There were 50 or more warnings (use warnings() to see the first 50)
The thing is that the caracter "Wuerfel" is random generated
and it shouldn' t be significant.
It would be realy great if you could help me.
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