Huiyao Chen
Install the gttable1 package via the Github repository:
# install.packages("remotes") #In case you have not installed it.
remotes::install_github("chenhy-lab/gttable1")
library(gttable1)
data(pbc, package = "survival")
cont_var <- c("bili","chol","copper","alk.phos","trig") # continuous variables
cat_var <- c("sex","status","stage") # category variables
group_var <- "trt" # group variable
tmp <- gttable1(data=pbc,group_var=group_var,cat_var=cat_var,cont_var=cont_var,out_format='gtobj',pDigits=3,method='auto')
tmp <- gttable1(data=pbc,group_var=group_var,cat_var=NULL,cont_var=cont_var,out_format='dataframe',pDigits=3,method='auto')
tmp <- gttable1(data=pbc,cont_var=cont_var,out_format='gtobj',pDigits=3,method='auto')
tmp <- gttable1(data=pbc,cat_var=cat_var,out_format='gtobj',pDigits=3,method='auto')
tmp <- gttable1(data=pbc,out_format='gtobj',pDigits=3,method='auto')
tmp <- gttable1(data=pbc,group_var=group_var,cat_var=cat_var,cont_var=cont_var,out_format='gtobj',pDigits=3,method='define')
tmp <- gttable1(data=pbc,group_var=group_var,cat_var=cat_var,cont_var=cont_var,out_format='dataframe',pDigits=3,method='define')
tmp <- gttable1(data=pbc,group_var=group_var,cont_var=cont_var,out_format='dataframe',pDigits=3,method='define')
tmp <- gttable1(data=pbc,cont_var=cont_var,out_format='gtobj',pDigits=3,method='define')
tmp <- gttable1(data=pbc,cat_var=cat_var,out_format='gtobj',pDigits=3,method='define')
tmp <- gttable1(data=pbc,out_format='dataframe',pDigits=3,method='define')
tmp <- gttable1(data=pbc,out_format='gtobj',pDigits=3,method='define')
tmp <- gttable1(data=pbc,out_format='gtobj',pDigits=3,method='define',missing="always",missing_text="missing")
- gtsummary: A package provides an elegant and flexible way to create publication-ready analytical and summary tables using the R programming language.