Identifies outliers in a numeric vector

Detects outliers using methods like IQR, percentiles, Hampel, MAD, or SD.

Usage

identify_outliers(
  x,
  probabilities = c(0.25, 0.75),
  method = "iqr",
  weight = 1.5,
  replace = FALSE
)

Arguments

x

Vector containing numerical values.

probabilities

Numeric vector specifying probabilities for percentiles.

method

Character specifying the method: iqr, percentiles, hampel, mad, or sd.

weight

Double specifying the multiplier for the detection threshold.

replace

Logical specifying whether to replace outliers with NA.

Value

A numeric vector whose content depends on the value of replace:

replace = FALSE

A numeric vector containing only the detected outlier values. The vector is named with the original indices or names of x.

replace = TRUE

A numeric vector of the same length as x, where detected outliers are replaced by NA.

Examples

x <- rnorm(100)
identify_outliers(x, method = "iqr")
#> Error in identify_outliers(x, method = "iqr"): data should be a data frame
identify_outliers(x, method = "percentiles", probabilities = c(0.1, 0.9))
#> Error in identify_outliers(x, method = "percentiles", probabilities = c(0.1,     0.9)): data should be a data frame
identify_outliers(x, method = "sd", weight = 3)
#> Error in identify_outliers(x, method = "sd", weight = 3): data should be a data frame
identify_outliers(x, method = "mad", replace = TRUE)
#> Error in identify_outliers(x, method = "mad", replace = TRUE): data should be a data frame