proportionOfSignificantTValuesUsingIncorrectAnalysis {reproducer}

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

Author(s)

Barbara Kitchenham and Lech Madeyski

Examples

data <- KitchenhamMadeyski.SimulatedCrossoverDataSets
myPlot <- proportionOfSignificantTValuesUsingIncorrectAnalysis(data)