## 1: Libraries and functions for reading data

- Unit covers reading data from excel and other file formats using a number of libraries.
- Day 1 Supplemental materials

- Unit covers reading data from excel and other file formats using a number of libraries.
- Day 1 Supplemental materials

- Unit covers dplyr, reshape2, etc..
- Day 2 Supplemental materials
- Resource: RStudio Data Wrangling cheatsheet

- Unit covers qplot and ggplot functions.
- Supplemental materials

- Unit covers PCA, SVD, eigen decomposition, and projection into subspaces.
- Supplemental materials

- Unit covers psychometrics, including test-retest reliability, ICC, Cronbach's alpha, and Cohen's Kappa.
- Supplemental materials

- Unit covers power analysis functions in R.
- Supplemental materials

- Unit covers MANOVA and methods for testing multiple DVs.
- Supplemental materials

- Unit covers Generalized linear regression, ML estimation, weighted regression,.
- Supplemental materials

- Unit covers logistic regression, over/under-dispersion, and probit regression.
- Supplemental materials

- Unit a short example on predicting multiple different classes using a variation on the logistic model.
- Supplemental materials

- Unit covers using Item Response theory and Rasch Model to do psychometrics.
- Supplemental materials

- Unit covers using LDA and QDA for simple classifier models.
- Supplemental materials

- Unit covers using decision/partition trees, random forests, and KNN classification methods.
- Supplemental materials

- Unit covers using Naive Bayes classification.
- Supplemental materials

- Unit covers support vector machines.
- Supplemental materials

- Unit covers simple artificial neural networks.
- Supplemental materials

- Unit covers GAMs, which are glms that incorporate functional transforms of predictor variables including smoothing and polynomials.
- Supplemental materials

- Unit covers metric and non-metric MDS.
- Supplemental materials

- Basic materials covering Shiny
- Supplemental materials

- Unit covers hierarchical and finite clustering methods.
- Supplemental materials

- Unit covers Model-based clustering and finite mixture modeling using mclust and flexmix.
- Supplemental materials

- Unit covers mixtures of regresions with flexmix.
- Supplemental materials

- Unit covers EFA using factanal and psych::fa, including rotations. li>
- Supplemental materials

- Unit using lavaan to do confirmatory factor analysis and latent variable models.
- Supplemental materials

- Unit using mass::corresp and ca::ca ca::mjca to do correspondence analysis.
- Supplemental materials

This material was developed By Shane Mueller for PSY 5220, an
statistical analysis course for the Applied Cognitive Science and Human
Factors program at Michigan Technological University.

- Faraway's Practical Regression and ANOVA in R
- Baron & Li's Notes on the use of R for psychology experiments and questionnaires
- Robert Kabacoff's R in Action
- Fox & Weisberg's An R Companion to Applied Regression

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