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Right now, 3 dimensional contingency tables are difficult to read:
julia> tbl =dataset("MASS","survey");
julia>freqtable(tbl, :Sex, :Exer, :Smoke)
2x3x4 NamedArray{Int64,3}:
Sex: ASCIIString["Female""Male"] Exer: ASCIIString["Freq""None""Some"] Smoke: ASCIIString["Heavy""Never""Occas""Regul"][302411]
[39105047834]
[513721]
[203714]
julia>R"table($tbl$Sex, $tbl$Exer, $tbl$Smoke)"
WARNING: RCall.jl Warning in bin + pd * (as.integer(cat) -1L) :
longitud de objeto mayor no es múltiplo de la longitud de uno menor
Warning in bin + pd * (as.integer(cat) -1L) :
longitud de objeto mayor no es múltiplo de la longitud de uno menor
RCall.RObject{RCall.IntSxp}
, , = Heavy
Freq None Some
Female 306
Male 200
, , = Never
Freq None Some
Female 451039
Male 49938
, , = Occas
Freq None Some
Female 216
Male 613
, , = Regul
Freq None Some
Female 403
Male 433
The text was updated successfully, but these errors were encountered:
Yeah, I've noticed that too. But that's nothing to do with FreqTables, it's a NamedArray issue. Please file an issue there, if possible with a reproducer which doesn't use FreqTables for simplicity.
Right now, 3 dimensional contingency tables are difficult to read:
The text was updated successfully, but these errors were encountered: