Show the available functions for the 4 classifications of data that are supported (numeric, date, binary and categorical)
Source:R/formats.R
availableFunctions.RdShow the available functions for the 4 classifications of data that are supported (numeric, date, binary and categorical)
Examples
# \donttest{
library(PatientProfiles)
availableFunctions()
#> Warning: `availableFunctions()` was deprecated in PatientProfiles 0.7.0.
#> ℹ Please use `availableEstimates()` instead.
#> # A tibble: 102 × 4
#> variable_type format_key applied_function result
#> <chr> <chr> <chr> <chr>
#> 1 numeric mean mean of the variable of interest. numer…
#> 2 numeric sd standard deviation of the variable of intere… numer…
#> 3 numeric median median of the variable of interest. numer…
#> 4 numeric q05 qualtile of 05% the variable of interest. numer…
#> 5 numeric q10 qualtile of 10% the variable of interest. numer…
#> 6 numeric q15 qualtile of 15% the variable of interest. numer…
#> 7 numeric q20 qualtile of 20% the variable of interest. numer…
#> 8 numeric q25 qualtile of 25% the variable of interest. numer…
#> 9 numeric q30 qualtile of 30% the variable of interest. numer…
#> 10 numeric q35 qualtile of 35% the variable of interest. numer…
#> # ℹ 92 more rows
availableFunctions("numeric")
#> # A tibble: 25 × 3
#> format_key applied_function result
#> <chr> <chr> <chr>
#> 1 mean mean of the variable of interest. numeric
#> 2 sd standard deviation of the variable of interest. numeric
#> 3 median median of the variable of interest. numeric
#> 4 q05 qualtile of 05% the variable of interest. numeric
#> 5 q10 qualtile of 10% the variable of interest. numeric
#> 6 q15 qualtile of 15% the variable of interest. numeric
#> 7 q20 qualtile of 20% the variable of interest. numeric
#> 8 q25 qualtile of 25% the variable of interest. numeric
#> 9 q30 qualtile of 30% the variable of interest. numeric
#> 10 q35 qualtile of 35% the variable of interest. numeric
#> # ℹ 15 more rows
availableFunctions("integer")
#> # A tibble: 0 × 3
#> # ℹ 3 variables: format_key <chr>, applied_function <chr>, result <chr>
availableFunctions("date")
#> # A tibble: 24 × 3
#> format_key applied_function result
#> <chr> <chr> <chr>
#> 1 mean mean of the date of interest. date
#> 2 sd standard deviation of the date of interest. numeric
#> 3 median median of the date of interest. date
#> 4 q05 qualtile of 05% the variable of interest. date
#> 5 q10 qualtile of 10% the variable of interest. date
#> 6 q15 qualtile of 15% the variable of interest. date
#> 7 q20 qualtile of 20% the variable of interest. date
#> 8 q25 qualtile of 25% the variable of interest. date
#> 9 q30 qualtile of 30% the variable of interest. date
#> 10 q35 qualtile of 35% the variable of interest. date
#> # ℹ 14 more rows
availableFunctions("categorical")
#> # A tibble: 26 × 3
#> format_key applied_function result
#> <chr> <chr> <chr>
#> 1 count number of times that each category is observed. numer…
#> 2 percentage percentage of records with that category numer…
#> 3 distinct_categories number of distinct categories numer…
#> 4 mean mean number of records per category numer…
#> 5 sd standard deviation of the number of records per c… numer…
#> 6 median median number of records per category numer…
#> 7 q05 qualtile of 05% the variable of interest. numer…
#> 8 q10 qualtile of 10% the variable of interest. numer…
#> 9 q15 qualtile of 15% the variable of interest. numer…
#> 10 q20 qualtile of 20% the variable of interest. numer…
#> # ℹ 16 more rows
availableFunctions("logical")
#> # A tibble: 0 × 3
#> # ℹ 3 variables: format_key <chr>, applied_function <chr>, result <chr>
# }