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Grammar and Manipulation

Construct data frames and focus on specific variables or factor levels

Data and Distributions

Data

Plot the data for the groups, levels, or variables

Frequencies

Obtain and plot frequencies for the groups, levels, or variables

Density

Plot densities for the groups, levels, or variables

Plausible

Plot plausibility curves for the groups, levels, or variables

Percentiles

Describe percentiles for the groups, levels, or variables

Boxes

Obtain and plot boxplots for the groups, levels, or variables

Moments

Obtain and plot summary statistics of the variables

Scatter

Plot scatterplots of the variables

Means and Mean Differences

Means

Examine all individual group, level, or variable means

Difference

Examine a difference among two group, level, or variable means

Comparison

Examine a comparison among two group, level, or variable means

Contrast

Examine a contrast among all of the group, level, or variable means

Subsets

Examine a subset contrast among all of the group, level, or variable means

Complex

Examine two contrasts among all of the group, level, or variable means and the differences between those contrasts

Pairwise

Examine all possible unadjusted pairwise comparisons among the group, level, or variable means

Posthoc

Examine all possible Tukey posthoc comparisons among the group, level, or variable means

Relational

Provide both arelational (confidence) and relational (comparative) intervals for group, level, or variable means

Effect

Provide an analysis of variance and effect size across all group, level, or variable means

Factorial

Provide a factorial analysis of variance and effect size across all group, level, or variable means

Interaction

Provide analyses 2x2 interaction contrasts in factorial and mixed designs

Correlation and Regression

Correlations

Provide analyses of correlations among variables

Line

Provide analyses of the regression line and values

Coefficients

Provide analyses of regression coefficients

Model

Provide an analysis of variance and effect size for a regression model