RStudio Tutorials
These tutorials provided a step-by-step guide on how to apply basic statistical techniques to behavioral data in RStudio.
This series was designed for absolute beginners who have a background in behavioral statistics or are enrolled in an introductory statistics course.
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Tutorial 0: Getting Started with RStudio & RMarkdown
Learn how to install RStudio, run functions in the console, install new packages, and work in RMarkdown
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Tutorial 1: Descriptive Statistics & Data Visualization
Learn how to import and save data, calculate descriptive statistics, and visualize relationships
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Tutorial 2: Distributions & Hypothesis Testing
Learn how to simulate a distribution of scores and perform a null-hypothesis test using the one-sample t-statistic
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Tutorial 3: t-Statistic
Learn how to visualize relationships, conduct a null hypothesis test using the t-statistic, and find effect size
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Tutorial 4: One-Factor ANOVA
Learn how to conduct a one-factor analysis of variance, run a Tukey's HSD test, and find effect size
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Tutorial 5: Multiple Regression
Learn how to create scatter plots, conduct an analysis of multiple regression, and test its assumptions
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Tutorial 6: Survey Data Analysis
An introduction to analyzing survey research data and communicating the results