_pkgdown.yml

url: https://cwendorf.github.io/EASI

template:
  bootstrap: 5

authors:
  Craig Wendorf:
    href: https://cwendorf.github.io/

reference:
- title: Grammar and Manipulation
  desc: Construct data frames and focus on specific variables or factor levels
  contents:
  - construct
  - combine
  - focus

- title: Data and Distributions

- subtitle: Data
  desc: Plot the data for the groups, levels, or variables
  contents:
  - plotData

- subtitle: Frequencies
  desc: Obtain and plot frequencies for the groups, levels, or variables
  contents:
  - describeFrequencies
  - plotFrequencies

- subtitle: Density
  desc: Plot densities for the groups, levels, or variables
  contents:
  - plotDensity

- subtitle: Plausible
  desc: Plot plausibility curves for the groups, levels, or variables
  contents:
  - plotPlausible

- subtitle: Percentiles
  desc: Describe percentiles for the groups, levels, or variables
  contents:
  - describePercentiles

- subtitle: Boxes
  desc: Obtain and plot boxplots for the groups, levels, or variables
  contents:
  - describeBoxes
  - plotBoxes

- subtitle: Moments
  desc: Obtain and plot summary statistics of the variables
  contents:
  - describeMoments
  - plotMoments

- subtitle: Scatter
  desc: Plot scatterplots of the variables
  contents:
  - plotScatter

- title: Means and Mean Differences

- subtitle: Means Set
  desc: Examine all individual group, level, or variable means
  contents:
  - estimateMeansSet
  - plotMeansSet
  - testMeansSet
  - standardizeMeansSet

- subtitle: Means Difference
  desc: Examine a difference among two group, level, or variable means
  contents:
  - estimateMeansDifference
  - plotMeansDifference
  - testMeansDifference
  - standardizeMeansDifference

- subtitle: Means Comparison
  desc: Examine a comparison among two group, level, or variable means
  contents:
  - estimateMeansComparison
  - plotMeansComparison
  - testMeansComparison

- subtitle: Means Contrast
  desc: Examine a contrast among all of the group, level, or variable means
  contents:
  - estimateMeansContrast
  - plotMeansContrast
  - testMeansContrast
  - standardizeMeansContrast

- subtitle: Means Subsets
  desc: Examine a subset contrast among all of the group, level, or variable means
  contents:
  - estimateMeansSubsets
  - plotMeansSubsets
  - testMeansSubsets

- subtitle: Means Complex
  desc: Examine two contrasts among all of the group, level, or variable means and the differences between those contrasts
  contents:
  - estimateMeansComplex
  - plotMeansComplex
  - testMeansComplex

- subtitle: Means Pairwise
  desc: Examine all possible unadjusted pairwise comparisons among the group, level, or variable means
  contents:
  - estimateMeansPairwise
  - plotMeansPairwise
  - testMeansPairwise
  - standardizeMeansPairwise

- subtitle: Means Posthoc
  desc: Examine all possible Tukey posthoc comparisons among the group, level, or variable means
  contents:
  - estimateMeansPosthoc
  - plotMeansPosthoc
  - testMeansPosthoc

- subtitle: Means Relational
  desc: Provide both arelational (confidence) and relational (comparative) intervals for group, level, or variable means
  contents:
  - estimateMeansRelational
  - plotMeansRelational

- subtitle: Means Effect
  desc: Provide an analysis of variance and effect size across all group, level, or variable means
  contents:
  - describeMeansEffect
  - estimateMeansEffect
  - testMeansEffect

- subtitle: Means Factorial
  desc: Provide a factorial analysis of variance and effect size across all group, level, or variable means
  contents:
  - describeMeansFactorial
  - estimateMeansFactorial
  - testMeansFactorial
  - plotMeansFactorial

- subtitle: Means Interaction
  desc: Provide analyses 2x2 interaction contrasts in factorial and mixed designs
  contents:
  - estimateMeansInteraction
  - testMeansInteraction
  - plotMeansInteraction

- title: Correlation and Regression

- subtitle: Correlations
  desc: Provide analyses of correlations among variables
  contents:
  - describeCorrelations
  - estimateCorrelations
  - plotCorrelations
  - testCorrelations

- subtitle: Regression Line
  desc: Provide analyses of the regression line and values
  contents:
  - estimateRegressionLine
  - plotRegressionLine

- subtitle: Regression Coefficients
  desc: Provide analyses of regression coefficients
  contents:
  - estimateRegressionCoefficients
  - plotRegressionCoefficients
  - testRegressionCoefficients
  - standardizeRegressionCoefficients

- subtitle: Regression Model
  desc: Provide an analysis of variance and effect size for a regression model
  contents:
  - estimateRegressionModel
  - testRegressionModel

articles:
- title: Getting Started
  contents:
  - Introduction

- title: OneWay (Between-Subjects) Analyses
  contents:
  - OneWayDataExploration
  - OneWayDataTraditional  
  - OneWayDataContrasts
  - OneWayDataAdvanced  
  - OneWaySummaryTraditional  
  - OneWaySummaryContrasts
  - OneWaySummaryAdvanced

- title: Repeated Measures (Within-Subjects) Analyses
  contents:
  - RepeatedDataExploration
  - RepeatedDataTraditional
  - RepeatedDataContrasts
  - RepeatedDataAdvanced
  - RepeatedSummaryTraditional  
  - RepeatedSummaryContrasts
  - RepeatedSummaryAdvanced  

- title: Factorial (Between-Subjects) Analyses
  contents:
  - FactorialDataTraditional
  - FactorialDataContrasts
  - FactorialSummaryTraditional
  - FactorialSummaryContrasts

- title: Mixed (Between-Subjects and Within-Subjects) Analyses
  contents:
  - MixedDataTraditional
  - MixedDataContrasts
  - MixedSummaryTraditional
  - MixedSummaryContrasts

- title: Correlation and Regression Analyses
  contents:
  - RepeatedDataCorrelations
  - RepeatedSummaryCorrelations
  - BivariateDataRegression
  - BivariateSummaryRegression