Deprecated functions

Some functions have been deprecated and are no longer being actively supported.

Renamed functions

• ard_categorical() to ard_tabulate()

• ard_continuous() to ard_summary()

• ard_complex() to ard_mvsummary()

• apply_fmt_fn() to apply_fmt_fun()

• alias_as_fmt_fn() to alias_as_fmt_fun()

• update_ard_fmt_fn() to update_ard_fmt_fun()

Deprecated functions

• shuffle_ard()

This function ingests an ARD object and shuffles the information to prepare for analysis. Helpful for streamlining across multiple ARDs. Combines each group/group_level into 1 column, back fills missing grouping values from the variable levels where possible, and optionally trims statistics-level metadata.

Usage

ard_continuous(data, ...)

ard_categorical(data, ...)

ard_complex(data, ...)

ard_dichotomous(data, ...)

# S3 method for class 'data.frame'
ard_continuous(data, ...)

# S3 method for class 'data.frame'
ard_categorical(data, ...)

# S3 method for class 'data.frame'
ard_complex(data, ...)

# S3 method for class 'data.frame'
ard_dichotomous(data, ...)

apply_fmt_fn(...)

alias_as_fmt_fn(...)

update_ard_fmt_fn(...)

shuffle_ard(x, trim = TRUE)

Arguments

data, ...

x

(data.frame)
an ARD data frame of class 'card'

trim

(logical)
logical representing whether or not to trim away statistic-level metadata and filter only on numeric statistic values.

Value

a tibble

Examples

bind_ard(
  ard_tabulate(ADSL, by = "ARM", variables = "AGEGR1"),
  ard_tabulate(ADSL, variables = "ARM")
) |>
  shuffle_ard()
#> Warning: `shuffle_ard()` was deprecated in cards 0.8.0.
#> ℹ Please use `tfrmt::shuffle_card()` instead.
#> # A tibble: 36 × 7
#>    ARM               variable variable_level context stat_name stat_label   stat
#>    <chr>             <chr>    <chr>          <chr>   <chr>     <chr>       <dbl>
#>  1 Placebo           AGEGR1   65-80          tabula… n         n          42    
#>  2 Placebo           AGEGR1   65-80          tabula… N         N          86    
#>  3 Placebo           AGEGR1   65-80          tabula… p         %           0.488
#>  4 Placebo           AGEGR1   <65            tabula… n         n          14    
#>  5 Placebo           AGEGR1   <65            tabula… N         N          86    
#>  6 Placebo           AGEGR1   <65            tabula… p         %           0.163
#>  7 Placebo           AGEGR1   >80            tabula… n         n          30    
#>  8 Placebo           AGEGR1   >80            tabula… N         N          86    
#>  9 Placebo           AGEGR1   >80            tabula… p         %           0.349
#> 10 Xanomeline High … AGEGR1   65-80          tabula… n         n          55    
#> # ℹ 26 more rows