rlstats {relevance}R Documentation

Calculate Relevance and Significance Statistics

Description

Calculate relevance and significance statistics for samples or two group comparisons

Usage

rlstats(x = NULL, se = NULL, df = Inf, testlevel = NULL,
  steff = NULL, rlv = TRUE, rlvthres = NULL, object = NULL)

Arguments

x

estimated effect(s)

se

their standard errors

df

degrees of freedom for the t test

testlevel

level of the statistical test, usually 0.05

steff

vector of standardized effects, or
logical: should standardized coefficients be calculated? This only works if object is a regression result

rlv

logical: should relevances be calculated?

rlvthres

relevance threshold. May be a vector containing a component names steff

object

a regression fit, needed in case standardized effects (coefficients) need to be calculated.

Details

to be described

Value

List with components ...

Author(s)

Werner A. Stahel

Maintainer: Werner A. Stahel <stahel@stat.math.ethz.ch>

References

Stahel, Werner A. (2020). Measuring Significance and Relevance instead of p-values. In preparation.

Examples

  rlstats(5, se=3, rlv=FALSE)

[Package relevance version 1.0 Index]