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Identify indexes of outliers in data

outlier_detection.Rd

Given a vector or matrix, this function returns a vector or matrix of 0|1, of the same structure with 1 values indicating outliers.

Usage

outlier_detection(data, nsd = 5, meansd = FALSE, by = "column")

Arguments

data

a matrix of numerical values, samples in row, features in columns

nsd

the unit distance in SD or IQR from the mean or median estimate, respectively outliers are identified at. Default value is 5.

meansd

set to TRUE if you would like to estimate outliers using a mean and SD method; set to FALSE if you would like to estimate medians and inter quartile ranges. The default is FALSE.

by

character, either 'column' to compute along columns or 'row' to compute across rows. Irrelevant for vectors.

Value

a matrix of 0 (not a sample outlier) and 1 (outlier)