Hi,
I have a problem with the df.
I read in a big csv file.
Tabelle <-
read.csv("C:\\Users\\Public\\Documents\\Bachelorarbeit\\eingabe8_durchnummeriert.csv"
, header = T , sep=";")
then I try this:
> ygamma <- glm(Tabelle$sb_ek_ber ~1+ Tabelle$FAHRL_C + Tabelle$NUTZKREIS +
> Tabelle$schw_drittel_c  , family = Gamma)
> Â anova(ygamma, test="Chisq")
Analysis of Deviance Table
Model: Gamma, link: inverse
Response: Tabelle$sb_ek_ber
Terms added sequentially (first to last)
            Df Deviance Resid. Df Resid. Dev  Pr(>Chi)
 Â
NULL Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â Â 1236805 Â 35451551
      Â
Tabelle$FAHRL_C Â Â Â Â 1 Â Â Â 33987 Â 1236804 Â 35417564 0.0018493
**Â
Tabelle$NUTZKREIS Â Â Â 1 Â Â Â 48903 Â 1236803 Â 35368661 0.0001880 ***
Tabelle$schw_drittel_c   1    47328  1236802  35321334 0.0002388 ***
---
Signif. codes: Â 0 â***â 0.001 â**â 0.01 â*â 0.05 â.â 0.1 â
â 1Â
> str(Tabelle)
'data.frame':  1236806 obs. of  9 variables:
 $ Alter_Jüngster_C_inkl_AlterNutz: int  1 1 1 1 1 1 1 1 1 1 ...
 $ ALTERKAU_C           : int  1 2 2 1 3 3 3 4 1 1 ...
 $ FAHRL_C             : int  1 2 1 3 4 3 3 1 5 1 ...
 $ NUTZKREIS            : int  1 2 2 2 2 2 2 1 1 2 ...
 $ RKL_U12             : int  1 1 1 2 3 4 4 3 5 6 ...
 $ SF_Sonder_aufgefüllt      : int  1 2 3 4 4 4 4 5 6 7 ...
 $ schw_drittel_c         : int  1 2 3 4 3 3 3 3 1 1 ...
 $ sb_ek_ber            : num  0.001 0.001 0.001 0.001
0.001 0.001 0.001 0.001 0.001 0.001 ...
 $ JE_gewichtet          : num  0.384 3.952 3.952 2.81
3.952 ...
I don't understand why the df are always 1.
it would be great if you could help me.
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