Remove outliers from a numeric vector

remove_outliers() removes outliers from a numeric vector using either the interquartile range (IQR) method or the standard deviation (SD) method.

Usage

remove_outliers(x, method = "iqr", iqr_mult = 1.5, sd_mult = 3)

Arguments

x

A numeric vector from which to remove outliers.

method

(optional) A character string specifying the outlier detection method. Must be either "iqr" for interquartile range method or "sd" for standard deviation method (Default: "iqr").

iqr_mult

(optional) A numeric multiplier for the IQR threshold (Default: 1.5).

sd_mult

(optional) A numeric multiplier for the standard deviation threshold (Default: 3).

Value

A numeric vector with outliers removed.

Details

When using the "iqr" method, values are considered outliers if they are below Q1 - (iqr_mult * IQR) or above Q3 + (iqr_mult * IQR), where Q1 is the first quartile, Q3 is the third quartile, and IQR is the interquartile range.

When using the "sd" method, values are considered outliers if they are below mean - (sd_mult * SD) or above mean + (sd_mult * SD), where SD is the standard deviation.

See also

Other statistical functions: cut_interval_mean(), prop(), std_error(), test_outlier()

Examples

remove_outliers(c(1, 2, 3, 4, 5), method = "iqr")
#> [1] 1 2 3 4 5
#> [1] 1 2 3 4 5 # Expected

remove_outliers(c(1, 2, 3, 4, 10), method = "iqr")
#> [1] 1 2 3 4
#> [1] 1 2 3 4 # Expected

remove_outliers(c(1, 5, 6, 7, 10), method = "iqr", iqr_mult = 1)
#> [1] 5 6 7
#> [1] 5 6 7 # Expected

remove_outliers(c(1, 2, 3, 4, 5), method = "sd", sd_mult = 1)
#> [1] 2 3 4
#> [1] 2 3 4 # Expected

remove_outliers(c(1, 2, 3, 4, 100), method = "sd", sd_mult = 1)
#> [1] 1 2 3 4
#> [1] 1 2 3 4 # Expected