R Course
Preface
Notation within this book
1
Installing R and Rstudio
1.1
Windows installation R
1.2
Installing RStudio
2
Possibilities within the RStudio environment
2.1
First steps with R
2.2
R as a calculator
2.3
The assignment operator
2.4
Brief introduction to functions
2.5
Advantages of RStudio
2.5.1
The Environment screen
2.5.2
The Files screen
2.5.3
The Tab button
2.5.4
Syntax highlighting
3
Files and projects
3.1
Files
3.2
Projects
3.2.1
Making a new project
3.2.2
Creating an R project within an existing folder
4
Installing and using packages (libraries)
4.1
Option 1
4.2
Option 2
4.3
Updating packages/ libraries
4.4
Using packages
4.5
Tidyverse
5
Data types and structures
5.1
Objects
5.1.1
Numeric
5.1.2
Characters
5.1.3
Logical
5.1.4
Factor
5.2
Structures
5.2.1
Vector
5.2.2
List
5.2.3
Matrix
5.2.4
Data frame
6
Loading and saving data
6.1
Loading data
6.2
Saving data
7
Indexing and data frames
7.1
Indexing
7.1.1
Vectors
7.1.2
Matrices
7.1.3
Lists
7.2
Data frames and indexing data frames
7.2.1
Indexing data frames
8
Descriptive statistics
8.1
Measures of central tendency
8.1.1
Mean
8.1.2
Median
8.2
Measures of variability
8.2.1
Standard deviation
8.2.2
Variance
8.2.3
Interquartile range
8.3
Summary
8.4
Functions and the apply functions
9
T-Test
9.1
Independent samples t-test
9.2
One sample T-test
9.3
Paired T-test
10
Glm function for regression
10.1
Linear regression
10.2
Logistic regression
10.3
Other types of regression
10.4
Predict function
11
Data visualization
11.1
Graphics library
11.1.1
Scatterplot
11.1.2
Boxplot
11.1.3
Histogram
11.1.4
Bar chart
11.2
Ggplot2
11.2.1
Scatterplot
11.2.2
Boxplot
11.2.3
Histogram
11.2.4
Bar chart
11.2.5
Themes
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Introduction
Introduction
