Show the available estimates that can be used for the different variable_type supported.

Usage

availableEstimates(variableType = NULL, fullQuantiles = FALSE)

Arguments

variableType: A set of variable types.
fullQuantiles: Whether to display the exact quantiles that can be computed or only the qXX to summarise all of them.

Value

A tibble with the available estimates.

Examples

# \donttest{
library(PatientProfiles)

availableEstimates()
#> # A tibble: 34 × 4
#>    variable_type estimate_name      estimate_description           estimate_type
#>    <chr>         <chr>              <chr>                          <chr>        
#>  1 date          mean               mean of the variable of inter… date         
#>  2 date          sd                 standard deviation of the var… date         
#>  3 date          median             median of the variable of int… date         
#>  4 date          qXX                qualtile of XX% the variable … date         
#>  5 date          min                minimum of the variable of in… date         
#>  6 date          max                maximum of the variable of in… date         
#>  7 date          count_missing      number of missing values.      integer      
#>  8 date          percentage_missing percentage of missing values   percentage   
#>  9 numeric       sum                sum of all the values for the… numeric      
#> 10 numeric       mean               mean of the variable of inter… numeric      
#> # ℹ 24 more rows
availableEstimates("numeric")
#> # A tibble: 11 × 4
#>    variable_type estimate_name      estimate_description           estimate_type
#>    <chr>         <chr>              <chr>                          <chr>        
#>  1 numeric       sum                sum of all the values for the… numeric      
#>  2 numeric       mean               mean of the variable of inter… numeric      
#>  3 numeric       sd                 standard deviation of the var… numeric      
#>  4 numeric       median             median of the variable of int… numeric      
#>  5 numeric       qXX                qualtile of XX% the variable … numeric      
#>  6 numeric       min                minimum of the variable of in… numeric      
#>  7 numeric       max                maximum of the variable of in… numeric      
#>  8 numeric       count_missing      number of missing values.      integer      
#>  9 numeric       percentage_missing percentage of missing values   percentage   
#> 10 numeric       count              count number of `1`.           integer      
#> 11 numeric       percentage         percentage of occurrences of … percentage   
availableEstimates(c("numeric", "categorical"))
#> # A tibble: 13 × 4
#>    variable_type estimate_name      estimate_description           estimate_type
#>    <chr>         <chr>              <chr>                          <chr>        
#>  1 numeric       sum                sum of all the values for the… numeric      
#>  2 numeric       mean               mean of the variable of inter… numeric      
#>  3 numeric       sd                 standard deviation of the var… numeric      
#>  4 numeric       median             median of the variable of int… numeric      
#>  5 numeric       qXX                qualtile of XX% the variable … numeric      
#>  6 numeric       min                minimum of the variable of in… numeric      
#>  7 numeric       max                maximum of the variable of in… numeric      
#>  8 numeric       count_missing      number of missing values.      integer      
#>  9 numeric       percentage_missing percentage of missing values   percentage   
#> 10 numeric       count              count number of `1`.           integer      
#> 11 numeric       percentage         percentage of occurrences of … percentage   
#> 12 categorical   count              number of times that each cat… integer      
#> 13 categorical   percentage         percentage of individuals wit… percentage   
# }