1. Getting Started with R and R Studio
- Introduction - Section 1
- Installing R and R Studio (Windows)
- The First Look of R and R Studio. R you ready?
- The First Look at the Functions in R
- Saving the R Script File
- Data Types in R
- Simple Mathematical Operations
- Download - Section 1 Notes and Codes
- Section 1 - Practice Assignment
2. Bonus Section: Descriptive Statistics Theory (lessons from my other course)
- Introduction - Section 2
- Understanding Basic Statistical Terms (Theory)
- Descriptive Statistics (Theory)
- Measurement of Central Tendency (Theory)
- Measurement of Variation (Theory)
- Download - Section 2 Slides
3. Descriptive Statistics Using R
- Introduction - Section 3
- Getting Help
- Measurement of Central Tendency - Mean (Using R)
- Measurement of Central Tendency - Median and Mode (Using R)
- Measurement of Variation - Range, IQR and Standard Deviation (Using R)
- Download - Section 3 Notes and Codes
- Section 3 - Practice Assignment
4. Vectors, Factors, Lists, Matrix and Data Frames in R
- Introduction - Section 4
- Introduction
- Vectors Explained
- Factors Explained
- Lists Explained
- Matrix Explained
- Data Frames Explained
- Download - Section 4 Notes and Codes
- Section 4 - Practice Assignment
5. Data Visualization
- Introduction - Section 5
- Your first plot in R
- *** Scatter Plot ***
- Add the Plot Main and Axis Lebel Text
- Let's Draw Some Lines on the Plot
- Change the Plot Characters (pch) from Circles to Plus Signs
- Let's Look at Filtered Data
- One is not enough, I want more plots on a single page!
- Add text to the plot
- Make plot colorful, and text bigger and bold
- Multiple pairs of scatter diagrams - when one plot is not enough!
- Time Series Plot
- *** Histogram ***
- *** Box and Whisker Plot ***
- Download - Section 5 Notes and Codes
- Section 5 - Practice Assignment
6. Descriptive Statistics Re-visited
- Introduction - Section 6
- Descriptive Statistics Using psych Package
- Download - Section 6 Notes and Codes
7. Bonus Section: Basic Probability Theory (lessons from my other course)
- Introduction - Section 7
- Probability Definition
- Probability - Union and Intersection
- Probability - The Law of Addition, Multiplication and Conditional Probability
- Factorial, Permutations and Combinations
- Download - Section 7 Slides
8. Probability Distributions
- Introduction - Section 8
- Central Limit Theorem (Theory)
- Central Limit Theorem Demonstration Using R
- *** Normal Probability Distribution (Theory) ***
- R Functions for Normal Distribution - rnorm, pnorm, qnorm and dnorm
- Plotting Normal Distribution Using R Functions
- Introducting "visualize" Package
- *** Binomial Probability Distribution (Theory) ***
- R Functions for Binomial Distribution - rbinom, pbinom, qbinom and dbinom
- Plotting Binomial Distribution Using R Functions
- Binomial Distribution using Visualize Package
- *** Poisson Distribution (Theory) ***
- R Functions for Poisson Distribution - rpois, ppois, qpois and dpois
- Plotting Poisson Distribution Using R Functions
- Poisson Distribution using Visualize Package
- Download - Section 8 Notes and Codes
9. Inferential Statistics - Hypothesis Tests
- Introduction - Section 9
- Types of Mean and Variance Tests
- Hypothesis Testing - Types of Errors (Theory)
- What is p value? (Theory)
- *** Hypothesis Testing - One Sample Z Test (Theory) ***
- One Sample z Test Using R
- One Sample z Test using BSDA Package
- *** One Sample t Test (Theory) ***
- One Sample t Test Using R
- Visualizing One Sample t Test Results using Visualize Package
- *** One Sample Variance Test - Chi Square Test (Theory) ***
- One Sample Variance Test Using Envstats Package
- Chi Square Distribution for One Sample Variance Test
- *** Two Sample Z Test (Theory) ***
- Two Sample Z Test Using R
- Visualizing Two Sample Z Test Using Visualize Package
- Two Sample Z Test for Populations with Different Means
- *** Two Sample t Test (Theory) ***
- Two Sample t Test (Equal Variance) Using R
