I love the tab_model table summary for reviewing model results but recently when using it to summarize multiple logit models i found it duplicates independent variable estimates/results making the table unreadable. I reproduce this issue with the student outcomes data below where i show the tab_model works fine for one model but no good for two or three models.
ml <- read.dta(https://stats.idre.ucla.edu/stat/data/hsbdemo.dta)
ml$prog2 <- relevel(ml$prog, ref = "academic")
test <- multinom(prog2 ~ ses + write, data = ml)
test1 <- multinom(prog2 ~ ses , data = ml)
Looks fine
tab_model(test)
Now it repeats variable as many times as there is a model
I love the tab_model table summary for reviewing model results but recently when using it to summarize multiple logit models i found it duplicates independent variable estimates/results making the table unreadable. I reproduce this issue with the student outcomes data below where i show the tab_model works fine for one model but no good for two or three models.
require(foreign) require(nnet) require(ggplot2) require(reshape2) library(sjplot)
Read data
ml <- read.dta(https://stats.idre.ucla.edu/stat/data/hsbdemo.dta) ml$prog2 <- relevel(ml$prog, ref = "academic") test <- multinom(prog2 ~ ses + write, data = ml) test1 <- multinom(prog2 ~ ses , data = ml)
Looks fine
tab_model(test)
Now it repeats variable as many times as there is a model
tab_model(test, test1) tab_model(test, test, test)