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Detect Outliers Across a Data Frame's Numeric Columns

Source: R/detect_outliers.R
detect_outliers.Rd

Runs flag_outliers on every numeric column of data.

Usage

detect_outliers(data, outliers_only = TRUE)

Arguments

data

A matrix, data frame, or tibble.

outliers_only

Logical (default TRUE); if TRUE, only rows actually flagged as outliers are returned.

Value

A tibble with a column identifying which feature each row came from, plus value, .outlier, and .outlier_type.

Examples

df <- data.frame(a = c(1, 2, 3, 4, 100), b = c(10, 12, 11, 9, 8))
detect_outliers(df)
#> # A tibble: 1 × 4
#>   column value .outlier .outlier_type
#>   <chr>  <dbl> <fct>    <fct>        
#> 1 a        100 TRUE     EXTREME      
detect_outliers(df, outliers_only = FALSE)
#> # A tibble: 10 × 4
#>    column value .outlier .outlier_type
#>    <chr>  <dbl> <fct>    <fct>        
#>  1 a          1 FALSE    NONE         
#>  2 a          2 FALSE    NONE         
#>  3 a          3 FALSE    NONE         
#>  4 a          4 FALSE    NONE         
#>  5 a        100 TRUE     EXTREME      
#>  6 b         10 FALSE    NONE         
#>  7 b         12 FALSE    NONE         
#>  8 b         11 FALSE    NONE         
#>  9 b          9 FALSE    NONE         
#> 10 b          8 FALSE    NONE