OrangeTree Global
R Programming
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Course sections

Section 1
What is R?
1
Birth and Rise of R
2
Links for the necessary software
3
Comparison with SAS
4
GUI of R: IDE and Statistical Analysis Interfaces
5
R Workspace
6
GUI of RStudio
Section 2
Basic Operations in R
1
Expressions: Basic Idea
2
Constant Values: Numeric and Non-Numeric
3
Arithmetic: Operations and BODMAS
4
Conditions: Equality, Greater Than, Less Than, etc
5
Function Calls: Introduction to R Functions
6
Symbols and Assignment
7
Keywords: NA, Inf, NaN, NULL, TRUE, FALSE
8
Naming a Variable: Generally accepted conventions
Section 3
Data Types and Data Structures
1
Basic data types
2
Basic data structures: Vector, Factor, Matrices, Data Frame, List
Section 4
Subsetting in R
1
Vector Subsetting
2
c() function: Creation of Vectors
3
Using rep() and seq() functions
4
Using factor() to covert vectors to factors
5
Using data.frame() to create data frames
6
Meta data access: dimnames(), rownames(), colnames()
7
Using matrix() to create matrices
8
Using array() to create arrays
9
Subsetting data frames: row subset, column subset, using subset() function
10
Assigning to a subset
11
Using is.na() to detect NA
12
Subsetting factors
Section 5
Additional Topics on Data structures
1
The recycling rule: Uneven arithmetic operation on vectors
2
Type coercion: Character to Numeric
3
Automatic Type coercion
4
Coercing factors: Using as.factor() function
5
Changing factor levels
6
Attributes: attribute(), attr(), names() functions
7
Classes: Idea of OOP in R
8
Dates: As a special class
9
Formulas: As a special class
10
Exploring Objects: summary(), str(), dim() functions
11
Generic functions
Section 6
Data Import and Export
1
Text formats: Reading Delimited Files
2
read.table() function
3
Using read.fwf() function for fixed width files
4
Using readLines() for reading lines
5
Using write.csv() function to store data as CSV files
6
Reading Excel file: Package XLConnect
7
Reading SPSS file: Package Foreign
8
Reading SAS data file: Package sas7bdat
9
Database connection: The ideas of ODBC connecting in Windows
10
RODBC package: Create and Query database from R
11
Basic SQL
Section 7
Control Structures and User Defined Functions
1
Conditional Statements
2
If statement: The Structure
3
If Else statement: The Structure
4
Ifelse() function
5
Iteration
6
The for loop
7
The while loop
8
The repeat statement
9
lapply() function
10
sapply() function
11
apply() function
12
User defined function
13
Variable scooping: Global and Local Variables
14
Using user defined functions inside function definition
Section 8
Data Visualisation: Charting with R
1
The plot function
2
plot.new() function: Generating new plot object
3
plot.window() function: Creating window
4
points() function: Plotting points
5
axis() function: Generating Axis
6
box() function: Creating enclosure
7
title() function: Assigning title
8
par() function: Fixing plotting parameters
9
lines() function: Adding connector lines
10
Multi figure layout: Creating multiple charts in the same window
11
hist() function: Plotting histograms
12
Kernel Density Plot: The non-parametric probability distribution
13
Comparing Groups via Kernel Density: Comparing two different probability distributions
14
Simple Bar Plot: Visualizing categorical data
15
Staked Bar Plot: Understating category composition
16
Grouped Bar Plot
17
Line Charts
18
Pie Charts
19
Boxplots: Understanding data distributions and outliers
20
Using Google Chart Tools with R (Package googleVis)
21
Geo Charts
22
Motion Charts
Section 9
Visualisation on R using Google Vis
1
Visualisation in R using GoogleVis
2
Introduction to the package GoogleVis
3
Line chart
4
Bar chart and Column chart
5
Stepped chart and Combo chart
6
Bubble chart
7
Candle-stick Chart
8
Pie chart and Gauge chart
9
Geo charts
10
Annotation charts
11
Histogram
Section 10
Visualization in R using GGPLOT2
1
Introduction and understanding the GGPLOT2 syntax
2
Scatter Plot and Jitter Plot
3
Counts chart
4
Maginal Histogram/ Boxplot
5
Correlogram
6
Ordered Bar chart
7
Histogram on continuous and categorical variable
8
Density Plot and Box Plot
9
Pie chart and Bar chart
10
Spatial Map

Data Visualisation: Charting with R, Lecture 3

plot.window() function: Creating window

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Data Visualisation: Charting with R, Lecture 2 plot.new() function: Generating new plot object
Complete
Data Visualisation: Charting with R, Lecture 4 points() function: Plotting points
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