trim.test: Robust one way trimmed means test.

In asbio: A Collection of Statistical Tools for Biologists

Robust one way trimmed means test.

Description

A robust heteroscedastic procedure using trimmed means.

Usage

trim.test(Y, X, tr = 0.2)

Arguments

Y	A vector of responses. A quantitative vector
X	A vector of factor levels.
tr	The degree of trimming. A value from 0-0.5.

Details

The method utilized here is based on the simple idea of replacing means with trimmed means and standard error estimates, based on all the data, with the standard error of the trimmed mean (Wilcox 2005). The method has the additional benefit of being resistant to heteroscedasticity due to the use of the Welch method for calculating degrees of freedom. With no trimming the degrees of freedom reduce to those of the one way Welch procedure in oneway.test.

Value

Returns a dataframe with numerator and denominator degrees of freedom, a test statistic, and a p-value based on the F-distribution.

Note

code based on Wilcox (2005)

Author(s)

Ken Aho

References

Wilcox, R. R. (2005) Introduction to Robust Estimation and Hypothesis Testing, Second Edition. Elsevier, Burlington, MA.

See Also

oneway.test

Examples

rye<-c(50,49.8,52.3,44.5,62.3,74.8,72.5,80.2,47.6,39.5,47.7,50.7)
nutrient<-factor(c(rep(1,4),rep(2,4),rep(3,4)))
trim.test(rye,nutrient,tr=.2)

asbio documentation built on May 29, 2024, 5:57 a.m.