Readings

Readings
Please read through the syllabus.
Readings
[link] Geoff Cumming and Robert Calin-Jageman Introduction to the New Statistics: Estimation, Open Science, and Beyond (Routledge, 2016). Pages 1-12. OPTIONAL: Xu and Tenenbaum (2007a) paper Spencer et al.
Readings
[link] Daniel Navarro Learning Statistics with r: A Tutorial for Psychology Students and Other Beginners: Version 0.5, 2013. Chapter 3: Getting started with R. OPTIONAL: Tidyverse Paper
Readings
[link] Russell A. Poldrack “Statistical Thinking for the 21st Century” (2019). Chapter 2: Working with data.
Readings
[link] Jenny Bryan “Data Wrangling, Exploration, and Analysis with r (Stat 545)” (2019). Chapter 6: Introduction to dplyr.
Readings
[link] Jenny Bryan “Data Wrangling, Exploration, and Analysis with r (Stat 545)” (2019). Chapter 7: Single table dplyr functions.
Readings
[link] Kieran Healy Data Visualization: A Practical Introduction (Princeton University Press, 2018). Chapter 3: Make a plot. Optional: Hadley Wickham “A Layered Grammar of Graphics,” Journal of Computational and Graphical Statistics 19, no.
Readings
[link] Kieran Healy Data Visualization: A Practical Introduction (Princeton University Press, 2018). Look at data/
Readings
[link] Jenny Bryan “Data Wrangling, Exploration, and Analysis with r (Stat 545)” (2019). Chapter 14: When one tibble is not enough.
Readings
[link] Karl W Broman and Kara H Woo “Data Organization in Spreadsheets,” The American Statistician 72, no. 1 (2018): 2–10.