windsorize: Windsorize data
In twolodzko/twextras: twextras

Windsorize data

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windsorize(x, method = c("trim", "outliers"), trim = 0.2, dist = 3)

var.windsorized(x, ...)

`x`	a numeric vector.
`method`	possible choices are "trim" for trimming arbitrary range of values or "mad" for removing values that are outlying from the median by `distance * MAD`. Values outside that range are replaced with the nearest endpoint.
`trim`	the fraction (0 to 0.5) of observations to be trimmed from each end of x. Values outside that range are replaced with the nearest endpoint.
`dist`	distance from the median when using `method = "mad"`.

Keselman, H. J., Algina, J., Lix, L. M., Wilcox, R. R., & Deering, K. (2008). A generally robust approach for testing hypotheses and setting confidence intervals for effect sizes. Psychological Methods, 13, 110<e2><80><93>129.

twolodzko/twextras documentation built on May 3, 2019, 1:52 p.m.