Implements filtering by median absolute deviation

An iterative outlier detection procedure is run based on to the linear regression residuals. Values of log-transformed TW, V, and Y residuals falling outside a specified median absolute deviation (MAD) envelope are excluded. Regression coefficients were recalculated and the outlier detection procedure was reapplied until no outliers are detected. This method was identified in HyG

Usage

mad_filter(df, envelope = 3)

Arguments

df

a data.frame with at least a Q and one other AHG field (Y. TW, V).

envelope

MAD envelope

Value

data.frame

See also

Other filters: date_filter(), nls_filter(), qva_filter(), significance_check()