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Layout Creating Function to Add Row Total Counts

Source: R/utils_rtables.R
add_rowcounts.Rd

[Stable]

This works analogously to rtables::add_colcounts() but on the rows.

Usage 

add_rowcounts(lyt)

Arguments

lyt

(layout)
input layout where analyses will be added to.

Value

The modified layout where the latest row split labels now have the row-wise total counts (i.e. without column based subsetting) attached in parentheses.

Examples 

basic_table() %>%
  split_cols_by("ARM") %>%
  add_colcounts() %>%
  split_rows_by("RACE", split_fun = drop_split_levels) %>%
  add_rowcounts() %>%
  analyze("AGE", afun = list_wrap_x(summary), format = "xx.xx") %>%
  build_table(DM)
#>                                    A: Drug X   B: Placebo   C: Combination
#>                                     (N=121)     (N=106)        (N=129)    
#> ——————————————————————————————————————————————————————————————————————————
#> ASIAN (N=231)                                                             
#>   Min.                               20.00       21.00          22.00     
#>   1st Qu.                            29.00       28.00          30.00     
#>   Median                             33.00       32.50          33.50     
#>   Mean                               34.20       32.68          34.63     
#>   3rd Qu.                            38.50       36.00          38.00     
#>   Max.                               58.00       55.00          53.00     
#> BLACK OR AFRICAN AMERICAN (N=79)                                          
#>   Min.                               23.00       21.00          24.00     
#>   1st Qu.                            29.00       28.75          29.00     
#>   Median                             33.00       30.00          32.00     
#>   Mean                               34.68       31.71          34.00     
#>   3rd Qu.                            37.25       36.25          39.00     
#>   Max.                               60.00       42.00          51.00     
#> WHITE (N=46)                                                              
#>   Min.                               30.00       25.00          28.00     
#>   1st Qu.                            38.00       31.00          30.25     
#>   Median                             40.50       37.50          35.00     
#>   Mean                               39.36       36.93          35.11     
#>   3rd Qu.                            43.50       40.00          37.50     
#>   Max.                               47.00       55.00          47.00