Error in add.chi.squared(tables, simulate.p.value = T, B = 1000, conservative = T) :
unused argument (conservative = T)
tables<-contingency.tables(
row.vars=d(profil),
col.vars=d(sdsDomin),data=dbTest1)
tables<-add.chi.squared(tables)
print(tables,prop.r=F,prop.c=F,prop.t=F)
remove(tables)
Warning message:
In chisq.test(x, correct = FALSE) :
Chi-squared approximation may be incorrect
add.chi.squared()
wrapper function the Yates' correction (conservative) is NOT the default. The question is how to use this correction with the Deducer`s add.chi.squared()
wrapper function.table1=with(dataframe, table(category1, category2))
chisq.test(table1)
chisq.test(table1,correct=FALSE)
The latter corresponds to the Deducer output.
But I don't know how to change the behaviour in Deducer.
If you search the group, there is an older thread (11.08.2012) that discusses the deliberate change and removal of the conservative option in Deducer.
Best
Rudolf
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