Quantitative Methods – Coding in R
Published: Apr 6, 2020
Contributor: Mia Costa
License: CC BY NC SA 4.0 license – Allows revisions and additions but forbids commercial use.
These are tutorials I run through in class when teaching an undergraduate research methods course. All tutorials use the R programming language and do not need to be completed in any particular order. Except for the first two introductory lessons, you will need: THIS DATASET (https://tinyurl.com/woyhht6) and THIS CODEBOOK (https://tinyurl.com/srqqqk5).
- Introduction to R Link opens in a new tab.
- Introduction to R Markdown Link opens in a new tab.
- Descriptive Statistics Link opens in a new tab.
- Confidence Intervals Link opens in a new tab.
- Hypothesis Tests Link opens in a new tab.
- Difference in Means and Proportions Link opens in a new tab.
- Correlation Link opens in a new tab.
- Bivariate Regression Link opens in a new tab.
- Multiple Regression Link opens in a new tab.
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