Outliers: Z-score method plot

Test several Z-score thresholds to visualize outliers. Tidyverse friendly.

Usage

outlier_zscore_plot(df, var, group = NULL, thresh = c(2, 3, 5), top = 5)

Arguments

df

Dataframe.

var

Numeric variable.

group

Categorical variable. Grouping variable.

thresh

Numeric vector. Z-Score threshold for n standard deviations.

top

Integer. Show only n most frequent categorical values when using the group argument.

Value

ggplot2 object

See also

Other Outliers: outlier_turkey(), outlier_zscore(), winsorize()

Examples

Sys.unsetenv("LARES_FONT") # Temporal
data(dft) # Titanic dataset
outlier_zscore_plot(dft, Fare)

p <- outlier_zscore_plot(dft, Fare, Pclass, thresh = c(3, 5))
plot(p)

attr(p, "z_values")
#>      [,1]     [,2]     [,3]     [,4]
#> [1,]    3 35.33443 235.1411 40.25220
#> [2,]    5 58.89071 391.9019 67.08699
head(attr(p, "labels"))
#> # A tibble: 6 × 6
#>    Fare `Z-3` `Z-5` outlier_std outlier_mean outlier_group
#>   <dbl> <lgl> <lgl>       <dbl>        <dbl>         <int>
#> 1  7.25 FALSE FALSE        11.8         13.7             3
#> 2 71.3  FALSE FALSE        78.4         84.2             1
#> 3  7.92 FALSE FALSE        11.8         13.7             3
#> 4 53.1  FALSE FALSE        78.4         84.2             1
#> 5  8.05 FALSE FALSE        11.8         13.7             3
#> 6  8.46 FALSE FALSE        11.8         13.7             3