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reproducer (version 0.1.6)

proportionOfSignificantTValuesUsingIncorrectAnalysis: proportionOfSignificantTValuesUsingIncorrectAnalysis

Description

Plots visualize the relationship between sample size, effect size and the proportion of significant t-values using the incorrect analysis. Function is used in a paper "Effect Sizes and their Variance for AB/BA Crossover Design Studies" by Lech Madeyski and Barbara Kitchenham.

Usage

proportionOfSignificantTValuesUsingIncorrectAnalysis(data)

Arguments

data
- data behind the plot returned by getSimulatedCrossoverDataSets() or stored in reproducer::KitchenhamMadeyski.SimulatedCrossoverDataSets

Value

plot described in description

Examples

Run this code
data  <- KitchenhamMadeyski.SimulatedCrossoverDataSets
myPlot <- proportionOfSignificantTValuesUsingIncorrectAnalysis(data)

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