Encyclopedia of Quantitative Methods in R

  • Vol. 0 - Setting up your computer

    Installing software (R, RStudio, packages, TeX)

    Workspace orientation

    Notebook workflow

    Periodic updating

    Vol. 1 - Data Management

    • Importing data files (SPSS, Excel, CSV, ect.)

    • Sub-setting (observations and variables)

    • Creating new variables

    • Saving revised data

    Vol. 2 Exploratroy Data Analysis

    Computing and tabulating summary statistics (M/SD, count/%)

    Creating descriptive visualizations of distributions (boxplots, histograms) and relationships (scatter plots)

    Vol. 3 Testing Mean Differences

    t-tests (independent groups, paired observations)

    ANOVA (independent or between subjects, 1-way, 2-way)

    RM ANOVA (repeated measures, between subjects)

    Mixed ANOVA (both independent and between subjects)

    Visualizations (marginal means to prob interactions)

    Post hoc tests (multiple corrections, contrast statements)

    Vol. 4 Multiple Linear Regression & GLM

    Calculating and visualization correlation

    Multiple regression models (fitting, tabulating results, graphical probing interactions)

    Generalizing the distribution (GLM: logistic regression, poisson regression, ect.)

    Moderation and Mediation

    Average Marginal Effects

    Vol. 5 Multilevel and Marginal Models

    Modeling clustered/hierarchical or longitudinal/repeated observations with multilevel models (MLM, LMM, GLMM, HLM), including:

    Computing ICCs

    Model fitting

    Tabulating results

    Visualizing (marginal means to prob interactions)

    Generalized Estimating Equations (GEE)

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