GEOG1400 book
1
github-repo: rstudio/bookdown-demo
About this book
1.1
Starting RStudio
1.2
File Managment
1.3
The RStudio interface
1.4
Ways of working
1.5
Your first R code
1.5.1
Assignment
1.5.2
Operations
1.5.3
Functions
1.5.4
Data Tables
1.5.5
Plotting the data: ‘Hello World!’
1.5.6
Data summaries and indexing
1.6
Some Tasks
1.7
Packages
1.8
Summary
Answers to Tasks
Appendix: Local installations of RStudio
2
Week 20: Introduction to R and the Module Survey
2.1
Overview and Introduction
2.2
Preparation
2.3
Data and Analysis
2.3.1
Loading tabular data
2.3.2
Exploratory Data Analysis (EDA)
2.3.3
Variable interactions
2.3.4
Saving and loading data in different ways
2.4
Examples of using distributions to generate probabilities
2.4.1
Normal Distributions
2.4.2
Poisson Distributions (counts)
Answers to tasks
References
3
Week 21: An introduction to some sampling statistics
3.1
Overview and Introduction
3.2
Preparation
3.3
Sampling, Standard Error and the Sample Mean
3.3.1
Take an initial sample
3.3.2
Increasing the sample size
3.3.3
Confidence Intervals
3.3.4
Summary
3.4
Optional (ie not part of the portfolio)
Resources
Optional Task Answer
4
Week 22: Statistical Tests and Significance
4.1
Overview and Introduction
4.2
Preparation
4.2.1
Packages
4.2.2
Data
4.3
Statistical Tests of Difference
4.3.1
Analysing data distributions
4.3.2
Pearson Correlation tests (numeric to numeric)
4.3.3
Student’s t-test: differences in measured values between groups (categorical to numeric)
4.3.4
Chi-squared test: differences in counts and counts between groups (categorical to categorical)
4.4
Revision of Sample SE and CIs
4.5
Linking data tables in R
4.6
Optional mapping fun (because I can’t help myself!)
4.7
References
5
Week 23 TBC
6
Week 24 TBC
References
7
1. Overview and Introduction
7.1
1.1 Getting started
7.2
1.2 Revision of Sample SE and CIs
7.3
3.1 Analysing data distributions
7.4
3.2 Pearson Correlation tests (numeric to numeric)
7.5
3.3 Student’s t-test: differences in measured values between groups (categorical to numeric)
7.6
3.4 Chi-squared test: differences in counts and counts between groups (categorical to categorical)
Published with bookdown
GEOG1400 Digital Geographies - RStudio Practicals
Chapter 6
Week 24 TBC