reproducer (version 0.4.0)

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

# NOT RUN {
data  <- KitchenhamMadeyski.SimulatedCrossoverDataSets
myPlot <- proportionOfSignificantTValuesUsingIncorrectAnalysis(data)
# }