# Statistical Acumen: Advanced Data Analysis

# Welcome

This is the website for the work-in-progress 1st edition of **“Statistical Acumen: Advanced Data Analysis”**. In ADA1, this book will teach you how to produce beautiful (quarto) and reproducible (knitr/quarto) reports with informative plots (ggplot2) and tables (kable) by writing code (R, RStudio, tidyverse) to answer questions using fundamental statistical methods (all one- and two-variable methods), which you’ll be proud to present (poster). In ADA2, you’ll learn more advanced statistical methods (multiple regression, analysis of covariance, logistic regression, multivariate methods, and classification).

This website is and will always be free, licensed under the CC BY-NC-ND 3.0 License.

## Acknowledgments

Statistical Acumen: Advanced Data Analysis was written by Erik B. Erhardt, with historical contributions by Edward J. Bedrick and Ronald M. Schrader for ADA 1 and 2 notes at UNM.

Sources:

- Erhardt EB, Bedrick EJ, and Schrader RM. (2019) Lecture notes for Advanced Data Analysis 1. Retrieved Sep 1, 2019, from https://statacumen.com/teach/ADA1/notes/ADA1_notes_F19.pdf.
- Creative Commons License Lecture notes for Advanced Data Analysis 1 (ADA1) Stat 427/527 University of New Mexico is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Based on a work at https://statacumen.com/teach/ADA1/notes/ADA1_notes_F19.pdf.

- Erhardt EB, Bedrick EJ, and Schrader RM. (2020) Lecture notes for Advanced Data Analysis 2. Retrieved Mar 1, 2020, from https://statacumen.com/teach/ADA2/notes/ADA2_notes_S20.pdf.
- Creative Commons License Lecture notes for Advanced Data Analysis 2 (ADA2) Stat 428/528 University of New Mexico is licensed under a Creative Commons Attribution-NonCommercial-ShareAlike 3.0 Unported License. Based on a work at https://statacumen.com/teach/ADA1/notes/ADAS_notes_S20.pdf.