Add a column of q values to fmt_table1 object to account for multiple comparisons in Rmarkdown

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_table1
add_q(x, method = "fdr", pvalue_fun = fmt_pvalue,
  ...)

Arguments

x

table1 object
method

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

function for rounding/formatting p-values. Default is fmt_pvalue.
...

further arguments passed to or from other methods

Examples

trial %>% fmt_table1(by = "trt") %>% add_comparison() %>% add_q()
#> 
#> Variable            Drug                Placebo             p-value             q-value            
#>                     N = 107             N = 93                                                     
#> Age, yrs            47 (39, 58)         46 (36, 54)         0.3                 0.4                
#> Unknown             3                   5                                                          
#> Marker Level, ng/mL 0.61 (0.22, 1.20)   0.72 (0.22, 1.63)   0.4                 0.4                
#> Unknown             4                   4                                                          
#> T Stage                                                     0.13                0.3                
#> T1                  25 (23%)            26 (28%)                                                   
#> T2                  26 (24%)            23 (25%)                                                   
#> T3                  29 (27%)            13 (14%)                                                   
#> T4                  27 (25%)            31 (33%)                                                   
#> Grade                                                       0.3                 0.4                
#> I                   38 (36%)            29 (31%)                                                   
#> II                  34 (32%)            24 (26%)                                                   
#> III                 35 (33%)            40 (43%)                                                   
#> Tumor Response      52 (51%)            30 (33%)            0.017               0.086              
#> Unknown             6                   3