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Produce a data frame to summaries continuous variables

continuous_table.Rd

Takes a data frame and produces grouped or un-grouped summaries such as mean and standard deviation for continuous variables.

Usage

continuous_table(
  df = .,
  ...,
  group,
  time,
  total = TRUE,
  digits = 2,
  condense = FALSE
)

Arguments

df

Data frame

...

Variables to be summarised

group

Optional variable that defines the grouping

time

Optional variable for repeated measures (currently must me used with group)

total

Logical indicating whether a total column should be created

digits

Number of digits to the right of the decimal point

condense

[Deprecated] condense = TRUE is deprecated, use condense() instead.

Value

A tibble data frame summarising the data

Examples

    continuous_table(outcome, score, group = group)
#> # A tibble: 5 × 5
#>   variable scoring      A                 B                 Total            
#>   <chr>    <chr>        <chr>             <chr>             <chr>            
#> 1 NA       NA           N = 276           N = 324           N = 600          
#> 2 score    n            247               280               527              
#> 3 score    Mean (SD)    4.12 (2.23)       6.46 (3.04)       5.36 (2.93)      
#> 4 score    Median (IQR) 4.27 (2.59, 5.54) 6.20 (4.45, 8.74) 5.11 (3.24, 7.22)
#> 5 score    Min, Max     -2.24, 9.89       -1.01, 14.58      -2.24, 14.58     
    continuous_table(outcome, score, group = group, condense = FALSE,
                     total = FALSE)
#> # A tibble: 5 × 4
#>   variable scoring      A                 B                
#>   <chr>    <chr>        <chr>             <chr>            
#> 1 NA       NA           N = 276           N = 324          
#> 2 score    n            247               280              
#> 3 score    Mean (SD)    4.12 (2.23)       6.46 (3.04)      
#> 4 score    Median (IQR) 4.27 (2.59, 5.54) 6.20 (4.45, 8.74)
#> 5 score    Min, Max     -2.24, 9.89       -1.01, 14.58     
    continuous_table(outcome, score, digits = 1)
#> # A tibble: 5 × 3
#>   variable scoring      value         
#>   <chr>    <chr>        <chr>         
#> 1 NA       NA           N = 600       
#> 2 score    n            527           
#> 3 score    Mean (SD)    5.4 (2.9)     
#> 4 score    Median (IQR) 5.1 (3.2, 7.2)
#> 5 score    Min, Max     -2.2, 14.6