OutlierDetection: Detect outliers by the method of Motulsky and Brown (2006).

Description Usage Arguments Details Value Author(s) References

View source: R/outlier_detection.R

Description

Detect outliers by the method of Motulsky and Brown (2006).

Usage

1

Arguments

residuals

Vector of residuals from a robust fit.

Details

This function detects outliers from a vector of residuals obtained from a robust fit. The method used here is the same with Motulsky and Brown (2006) except that the median absolute deviation is used instead of the sample quantile based estimator suggested in that paper. Based on the False Discovery Rate (FDR) a set of multiple outliers that have lower FDR's than a threshold are reported.

Value

Vector of indices of outliers in the input vector of residuals

Author(s)

Hyowon An

References

\insertRef

Motulsky2006dr4pl


ahwbest/DR4PL documentation built on Oct. 20, 2017, 5:18 a.m.