Hi all,
We found some kind of incompatibility between labelled and paramters for some data frames.
Notice that the labels include several NA in the first example but not the second. In the first, I use the data supplied by the pscl package. In the second, I use a data frame from Rdatasets.
My hunch is that labelled does not apply the labels in the same way to both data frames, but I don’t know this package well enough to be sure.
This was first reported by @raffaem here: vincentarelbundock/modelsummary#891
library(parameters)
library(labelled)
library(Rdatasets)
# Broken
mydf <- pscl::bioChemists
var_label(mydf) <- list(art="MyCount", fem="MyGender", kid5="Kids")
model <- lm(art ~ fem * factor(kid5), data = mydf)
p <- parameters(model, pretty_names = "labels")
attr(p, "pretty_labels")
#> (Intercept) femWomen factor(kid5)1
#> "(Intercept)" "MyGender [Women]" "kid5 [1]"
#> factor(kid5)2 factor(kid5)3 femWomen:factor(kid5)1
#> "kid5 [2]" "kid5 [3]" "MyGender [Women] * NA"
#> femWomen:factor(kid5)2 femWomen:factor(kid5)3
#> "MyGender [Women] * NA" "MyGender [Women] * NA"
# Working
mydf <- rddata("bioChemists")
var_label(mydf) <- list(art="MyCount", fem="MyGender", kid5="Kids")
model <- lm(art ~ fem * factor(kid5), data = mydf)
p <- parameters(model, pretty_names = "labels")
attr(p, "pretty_labels")
#> (Intercept) femWomen factor(kid5)1
#> "(Intercept)" "fem [Women]" "kid5 [1]"
#> factor(kid5)2 factor(kid5)3 femWomen:factor(kid5)1
#> "kid5 [2]" "kid5 [3]" "fem [Women] × kid5 [1]"
#> femWomen:factor(kid5)2 femWomen:factor(kid5)3
#> "fem [Women] × kid5 [2]" "fem [Women] × kid5 [3]"
`
Hi all,
We found some kind of incompatibility between
labelledandparamtersfor some data frames.Notice that the labels include several
NAin the first example but not the second. In the first, I use the data supplied by thepsclpackage. In the second, I use a data frame fromRdatasets.My hunch is that
labelleddoes not apply the labels in the same way to both data frames, but I don’t know this package well enough to be sure.This was first reported by @raffaem here: vincentarelbundock/modelsummary#891