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index.Rmd
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---
title: "Psy 612: Data Analysis II"
subtitle: "Department of Psychology, University of Oregon"
author: "Winter 2023. Instructor: Sara J. Weston"
output:
html_document:
toc: TRUE
toc_depth: 2
toc_float: TRUE
theme: cosmo
---
# Overview
This course is the second in a 3-term sequence of classes designed to provide a
thorough grounding in statistical concepts, methods, and applications of relevance to psychological science and related sciences. The aim of the course is to help students develop skills in the analysis and interpretation of real psychological data. Our focus will be both conceptual and mathematical -- that is, understanding the underlying mathematical principles of statistics enhances ones' ability to interpret and think critically about the use of statistics. Students will also learn the basics of the R language and use this program to wrangle, visualize, summarize, and test hypotheses with data.
## Meeting times and locations
**Lecture:** Tuesdays and Thursdays, 10:00 - 11:20 am, 201 CON
**Lab (Section 24514):** Fridays, STB 008
9:00 - 10:20 am
**Lab (Section 24515):** Fridays, 10:30 - 11:50 am, STB 008
## Instructors
**Sara Weston** -- [sweston2@uoregon.edu](mailto:sweston2@uoregon.edu)
Office Hours: [By appointment](https://calendly.com/sara-weston/weston-office-hours)
**Sara Lieber** -- [slieber@uoregon.edu](mailto:slieber@uoregon.edu)
Office Hours: [By appointment](https://calendly.com/slieber-psy/ge-sara-psy-612-office-hours) (Wednesday 10am-12pm)
**Ian Shryock** -- [ishryock@uoregon.edu](mailto:ishryock@uoregon.edu)
Office Hours: [By appointment](https://calendly.com/ishryock/ians-612-office-hours) (Wednesday 1:30-2:30pm & Thursday 12-1pm)
# Materials
## Textbook
We will primarily be referring to chapters in [_Learning Statistics with R_](https://learningstatisticswithr-bookdown.netlify.com/index.html) by Danielle Navarro. This textbook is available for free online. You may choose to purchase a paper copy if you wish, but it is not required. Additional readings assignments will be posted here.
## LaTeX
You'll need to download and install some version of LaTeX. There are different software programs for different operating systems -- you can find links to download them all [here](https://www.latex-project.org/get/).
## R and RStudio
Students must have the latest version of R, which can be downloaded [here](https://ftp.osuosl.org/pub/cran/). It is strongly recommended that students also download the RStudio GUI, available [here](https://www.rstudio.com/products/rstudio/download/#download). Both software programs are free.
## Resources for R and RStudio
While we will be covering the use of R and RStudio extensively in both lecture and lab, one of the key skills required to use R is the ability to find answers on the Internet. The R community (sometimes referred to as the useR community) tends to be friendly and helpful and enjoys solving R-related problems in their spare time. For that reason, many common questions or problems have been posted to spaces online and answered by smart people. Finding and deciphering those answers is the key skill you should seek to hone this year. It's much more important than remembering function names.
Here are some sites where you can find the answers to many R questions and learn new tricks:
### For learning the basics
- [_YaRrr, the Pirate's Guide to R_](https://bookdown.org/ndphillips/YaRrr/) by Nathaniel Phillips
- [_R for Data Science_](https://r4ds.had.co.nz/) by Hadley Wickham
- [_R Cookbook_](http://www.cookbook-r.com/) by Winston Chang
- [_An Introduction to Statistical Learning_](http://www-bcf.usc.edu/~gareth/ISL) by Gareth James, Daniela Witten, Trevor Hastie and Robert Tibshirani
### For plotting
- The [Graphs chapter of _R Cookbook_](http://www.cookbook-r.com/Graphs/) by Winston Chang
### Quick resources
- [Cheat Sheets](https://www.rstudio.com/resources/cheatsheets)
- [Quick-R](https://www.statmethods.net)
### Online forums
- [Stack Overflow](https://stackoverflow.com) \
- [Cross Validated](https://stats.stackexchange.com)