Adds the global p-value for a categorical variables in fmt_regression objects

This function uses Anova from the car package with type = "III" to calculate global p-values.

# S3 method for fmt_regression
add_global(x, terms = NULL, keep = FALSE, ...)

Arguments

x	object with class fmt_regression from the fmt_regression function
terms	Character vector of terms for which to add global p-values. Default is NULL which will add global p-values for all categorical variables
keep	logical argument whether to keep the individual p-values for the levels of the categorical variable. Default is FALSE
...	arguments to be passed to Anova. Adding test.statistic = can change the type of test (e.g. Likelihood-ratio, Wald, etc.).

Examples

lm(marker ~ stage + grade, trial) %>% fmt_regression() %>% add_global()
#> 
#> N = 192     Coefficient 95% CI      p-value    
#> T Stage                             >0.9       
#> T1          Ref.                               
#> T2          0.06        -0.29, 0.41            
#> T3          0.11        -0.25, 0.48            
#> T4          0.09        -0.25, 0.43            
#> Grade                               0.6        
#> I           Ref.                               
#> II          0.17        -0.15, 0.48            
#> III         0.08        -0.22, 0.37