Jamie’s R tutorial series: How to?

Click on the topic in blue to link to its tutorial on Github.

1. Descriptive statistics

   • Descriptive statistics, grouping variables, distributions

2. Equivalence testing

   • Equivalence testing, test of one-sided significance (TOST)

3. exploratory factor analysis (EFA)

   • EFA, determine optimal factor size

4. Mixed Effects models

   • Baby step your way to conducting linear mixed effects models using lme4

5. Time Series

   • time series modeling, Granger causality, motif detection

6. smoothing noisy data using a rolling average

   • plot noisy data and apply a simple moving average to smooth it using the zoo package