search for: _factors_

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) >  anova(ygamma, test="Chisq")

Reporting a possible inconsistency or bug in handling stringsAsFactors in as.data.frame.table() Here is a simple test > options()$stringsAsFactors [1] TRUE > x<-c("a","b","c","a","b") > d<-as.data.frame(table(x)) > d x Freq 1 a 2 2 b 2 3 c 1 > class(d$x) [1] "factor" >

I have no recollection of the original rationale for as.data.frame.table, but I actually think it is fine as it is: The classifying _factors_ of a crosstable should be factors unless very specifically directed otherwise and that should not depend on the setting of an option that controls the conversion of character data. For as.data.frame.matrix, in contrast, it is the _content_ of the matrix that is being converted, and it seems much...