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_pkgdown.yml
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_pkgdown.yml
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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