Bold or unbold p-values for fmt_uni_regression objects in Rmarkdown

Bold or unbold p-values for fmt_uni_regression objects in Rmarkdown

# S3 method for fmt_uni_regression
bold_p(x, t = 0.05, q = FALSE, ...)

Arguments

x

fmt_uni_regression object
t

Determines the threshold below which p-values get bolded. Default is 0.05.
q

logical argument. When TRUE will bold or unbold the q-value column rather than the p-values
...

further arguments passed to or from other methods

Examples


trial %>%
  fmt_uni_regression(
    method = "lm",
    y = "age"
  ) %>%
  bold_p(t = 0.20)
#> 
#> Variable                N                       Coefficient             95% CI                                         
#> Treatment Randomization 192                                                                                            
#> Drug                                            Ref.                                                                   
#> Placebo                                         -2.03                   -6.13, 2.08             0.3                    
#> Marker Level, ng/mL     184                     0.59                    -1.89, 3.06             0.6                    
#> T Stage                 192                                                                                            
#> T1                                              Ref.                                                                   
#> T2                                              2.05                    -3.78, 7.88             0.5                    
#> T3                                              4.46                    -1.56, 10.5             __0.15__               
#> T4                                              3.33                    -2.17, 8.83             0.2                    
#> Grade                   192                                                                                            
#> I                                               Ref.                                                                   
#> II                                              1.34                    -3.78, 6.45             0.6                    
#> III                                             4.03                    -0.84, 8.90             __0.10__               
#> Tumor Response          183                     -0.26                   -4.53, 4.01             >0.9