References
AREC 261: Agricultural Data Analytics I
Preface
Introduction: How to Think About Data Analysis
Part 1: Data Foundations
1
Describing Data in Excel
2
Introduction to R and Positron
3
Transforming Data in R
4
Graphing in R and Excel
5
Communicating Data Analysis
6
Relationships Between Variables
Part 2: Probability and Simulation
7
Probability and Random Variables
8
Probability and Simulation I
9
Probability and Simulation II
Part 3: Inference Through Simulation
10
Sampling
11
Randomization Tests
12
Bootstrap Methods
Test Bank
Module 1 — Full Test Bank
Module 1 — Test Bank
Module 2 — Test Bank
References
References
Wickham, Hadley, Mine Çetinkaya-Rundel, and Garrett Grolemund. 2023.
R for Data Science
. Second. O’Reilly Media.
https://r4ds.hadley.nz/
.
Module 2 — Test Bank