TSK: Thresholds, Skewness, and Kurtosis

View source: R/TSK.R

TSKR Documentation

Thresholds, Skewness, and Kurtosis

Description

This package contains the TSK function TSK(), which allows you to calculate thresholds, skewness, and kurtosis give categorical response probabilities.

Usage

TSK(n, res_prop)

Arguments

n

A sample size as an interger.

res_prob

A vector of categorical response probabilities.

Value

TSK will return threshold values and corresponding response probabilities and cumulative probabilities. It will also return skewness and kurtosis values. Kurt1 uses the regular formula of kurtosis but it subtract the value with -3. Kurt2 is the original value. Kurt3 uses formula found in Sheskin (2000).

References

\insertRef

Hahs_Vaughn2012AUTTT

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Finney2013AUTTT

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Kline2015AUTTT

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McDonald1999AUTTT

\insertRef

UCLAAUTTT

Examples

# Probability of each response category
res1<-4/120
res2<-16/120
res3<-50/120
res4<-50/120
res.prop<-c(res1, res2, res3, res4)
TSK(n = 1200, res_prop = res.prop)


Boklauth/AUTTT documentation built on Dec. 9, 2022, 7:37 a.m.