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Combine Counts

Source: R/split_cols_by_groups.R
combine_counts.Rd

Simplifies the estimation of column counts, especially when group combination is required.

Usage 

combine_counts(fct, groups_list = NULL)

Arguments

fct

(factor)
the variable with levels which needs to be grouped.

groups_list

(named list of character)
specifies the new group levels via the names and the levels that belong to it in the character vectors that are elements of the list.

Value

A vector of column counts.

See also

combine_groups()

Examples 

ref <- c("A: Drug X", "B: Placebo")
groups <- combine_groups(fct = DM$ARM, ref = ref)

col_counts <- combine_counts(
  fct = DM$ARM,
  groups_list = groups
)

basic_table() %>%
  split_cols_by_groups("ARM", groups) %>%
  add_colcounts() %>%
  analyze_vars("AGE") %>%
  build_table(DM, col_counts = col_counts)
#>             A: Drug X/B: Placebo   C: Combination
#>                   (N=227)             (N=129)    
#> —————————————————————————————————————————————————
#> n                   227                 129      
#> Mean (SD)        34.0 (7.2)          34.6 (6.5)  
#> Median              33.0                33.0     
#> Min - Max       20.0 - 60.0         22.0 - 53.0  

ref <- "A: Drug X"
groups <- combine_groups(fct = DM$ARM, ref = ref)
col_counts <- combine_counts(
  fct = DM$ARM,
  groups_list = groups
)

basic_table() %>%
  split_cols_by_groups("ARM", groups) %>%
  add_colcounts() %>%
  analyze_vars("AGE") %>%
  build_table(DM, col_counts = col_counts)
#>              A: Drug X    B: Placebo/C: Combination
#>               (N=121)              (N=235)         
#> ———————————————————————————————————————————————————
#> n               121                  235           
#> Mean (SD)   34.9 (7.8)           33.9 (6.5)        
#> Median         33.0                 33.0           
#> Min - Max   20.0 - 60.0          21.0 - 55.0