A function used for creating a data frame containing the map that is compatible with rtables split function
trim_levels_to_map
Usage
create_colspan_map(
df,
non_active_grp = c("Placebo"),
non_active_grp_span_lbl = " ",
active_grp_span_lbl = "Active Study Agent",
colspan_var = "colspan_trt",
trt_var = "TRT01A",
active_first = TRUE
)Arguments
- df
The name of the data frame in which the spanning variable is to be appended to
- non_active_grp
The value(s) of the treatments that represent the non-active or comparator treatment groups default value = c('Placebo')
- non_active_grp_span_lbl
The assigned value of the spanning variable for the non-active or comparator treatment groups default value = ”
- active_grp_span_lbl
The assigned value of the spanning variable for the active treatment group(s) default value = 'Active Study Agent'
- colspan_var
The desired name of the newly created spanning variable default value = 'colspan_trt'
- trt_var
The name of the treatment variable that is used to determine which spanning treatment group value to apply. default value = 'TRT01A'
- active_first
whether the active columns come first.
Details
This function creates a data frame containing the map that is compatible with rtables split function
trim_levels_to_map.
The levels of the specified trt_var variable will be stored within the trt_var variable
and the colspan_var variable will contain the corresponding spanning header value for each treatment group.
Examples
library(tibble)
df <- tribble(
~TRT01A,
"Placebo",
"Active 1",
"Active 2"
)
df$TRT01A <- factor(df$TRT01A, levels = c("Placebo", "Active 1", "Active 2"))
colspan_map <- create_colspan_map(
df = df,
non_active_grp = c("Placebo"),
non_active_grp_span_lbl = " ",
active_grp_span_lbl = "Active Study Agent",
colspan_var = "colspan_trt",
trt_var = "TRT01A"
)
colspan_map
#> colspan_trt TRT01A
#> 1 Active Study Agent Active 1
#> 2 Active Study Agent Active 2
#> 3 Placebo