Add a column of q values to fmt_uni_regression object to account for multiple comparisons

The adjustments to the p-values is performed with stats::p.adjust. The default method for correction is false discovery rate ("fdr")

# S3 method for fmt_uni_regression
add_q(x, method = "fdr", ...)

Arguments

x

table1 object
method

character argument. Methods from stats::p.adjust are accepted. Default is method = fdr.
...

further arguments passed to or from other methods

Examples

lm(mpg ~ hp + am, mtcars) %>%
  fmt_regression() %>%
  bold_p()
#> 
#> N = 32       Coefficient  95% CI                   
#> hp           -0.06        -0.07, -0.04 __<0.001__  
#> am           5.28         3.07, 7.48   __<0.001__  

trial %>%
  fmt_uni_regression(
    method = "lm",
    y = "age"
  ) %>%
  add_global() %>%
  add_q()
#> 
#> Variable                N                       Coefficient             95% CI                  p-value                 q-value                
#> Treatment Randomization 192                                                                     0.3                     0.8                    
#> Drug                                            Ref.                                                                                           
#> Placebo                                         -2.03                   -6.13, 2.08                                                            
#> Marker Level, ng/mL     184                     0.59                    -1.89, 3.06             0.6                     0.8                    
#> T Stage                 192                                                                     0.5                     0.8                    
#> T1                                              Ref.                                                                                           
#> T2                                              2.05                    -3.78, 7.88                                                            
#> T3                                              4.46                    -1.56, 10.5                                                            
#> T4                                              3.33                    -2.17, 8.83                                                            
#> Grade                   192                                                                     0.3                     0.8                    
#> I                                               Ref.                                                                                           
#> II                                              1.34                    -3.78, 6.45                                                            
#> III                                             4.03                    -0.84, 8.90                                                            
#> Tumor Response          183                     -0.26                   -4.53, 4.01             >0.9                    >0.9