Print fmt_uni_regression objects in Rmarkdown

Print fmt_uni_regression objects in Rmarkdown

# S3 method for fmt_uni_regression
knit_print(x, options, ...)

Arguments

x

object of class fmt_uni_regression object from fmt_uni_regression function
options

Copied from the printr package....should we delete?
...

further arguments passed to knitr::kable().

Examples

fmt_uni_regression(
  trial,
  method = "glm",
  y = "response",
  method.args = list(family = binomial),
  exponentiate = TRUE
) %>%
  print()
#> 
#> Variable                N                       OR                      95% CI                  p-value                
#> Treatment Randomization 191                                                                                            
#> Drug                                            Ref.                                                                   
#> Placebo                                         0.47                    0.26, 0.84              0.012                  
#> Age, yrs                183                     1.00                    0.98, 1.02              >0.9                   
#> Marker Level, ng/mL     183                     0.92                    0.65, 1.30              0.6                    
#> T Stage                 191                                                                                            
#> T1                                              Ref.                                                                   
#> T2                                              1.40                    0.63, 3.14              0.4                    
#> T3                                              0.63                    0.26, 1.50              0.3                    
#> T4                                              0.50                    0.22, 1.11              0.089                  
#> Grade                   191                                                                                            
#> I                                               Ref.                                                                   
#> II                                              0.60                    0.29, 1.25              0.2                    
#> III                                             0.76                    0.38, 1.51              0.4