hllinas2023

0 Introduction

0.1. Class Notes in PDF: View the class notes.

0.2. Courses and Seminars Taught: View the courses and seminars.

1 RStudio, R Markdown, and R

1.1. RStudio and R Markdown (TOC): View the table of contents.

1.2. Introduction to R (TOC): View the table of contents.

1.3. Data Frames in R (TOC): View the table of contents.

1.4. Variables in R (TOC): View the table of contents.

2 R Packages

2.0. Table of Contents: View the table of contents

2.1. StatisticTeach1 in R: View the package on CRAN.

library(StatisticTeach1)
runStatisticTeach1()

2.2. lsm in R (version 0.2.1.5): View the documentation.

2.3. glsm in R (version 0.0.0.6): View the documentation.

2.4. RIFanalysis in R (version 0.9.3): View the package on CRAN.

3 Interactive Applications and Repositories

3.0. Table of Contents: View the table of contents

3.1. Interactive Gradient Descent in Two and Three Dimensions:

3.2. Neural Network Playground:

3.3 Statistical timeline in R (github): View the repository on GitHub.

3.4. Global scientific production template (github): View the repository on GitHub.

4 Basic Statistics without R (Theory Only)

4.0. Statistics I - Basic Statistics without R and Theory Only (TOC): View the table of contents.

5 Descriptive Statistics

5.1. Descriptive Statistics without R - Theory Only (TOC): View the table of contents.

5.2. Descriptive Statistics with R (TOC): View the table of contents.

6 Probability

6.1. Probability without R - Theory Only (TOC): View the table of contents.

6.2. Probability with R (TOC): View the table of contents.

7 Probability Distributions

7.1. Probability Distributions without R - Theory Only (TOC): View the table of contents.

7.2. Probability Distributions with R (TOC): View the table of contents.

7.3. Distribution of Functions of Random Variables - without R - Advanced Theory (Univariate): View the document.

7.4. Probability Distributions without R - Advanced Theory (Univariate and Bivariate): View the document.

8 Probability Theory

8.1. Undergraduate Data Science with R (TOC): View the table of contents.

8.2. Undergraduate Mathematics without R (TOC): View the table of contents.

8.3. Master’s in Statistics without R - GitHub (TOC): View the table of contents.

9 Inferential Statistics with R

9.0. Inferential Statistics with R:

9.1. Sampling Distributions with R (TOC): View the table of contents.

9.2. Estimation with R (TOC): View the table of contents.

9.3. Confidence Intervals with R (TOC):

9.4. Hypothesis Testing with R (TOC):

9.5. Categorical Data Analysis with R (TOC): View the table of contents.

9.6. Design of Experiments with R (TOC): View the table of contents.

9.7. Linear Regression with R (TOC):

10 Inferential Statistics without R (Theory Only)

10.0. Statistics II - Inferential Statistics without R - Theory Only - GitHub (TOC): View the table of contents.

11 Mathematical Statistics with R (Advanced Theory)

11.0. Mathematical Statistics with R (TOC): View the table of contents.

12 Statistical Models

12.1. Generalized Linear Models (TOC): View the table of contents.

12.2. Logistic Regression (TOC): View the table of contents.

13 Multivariate Analysis

13.1. Multivariate Analysis (TOC - Long Version): View the table of contents.

13.2. Multivariate Analysis (TOC - Short Version): View the table of contents.

14 Foundations of Artificial Intelligence

14.1. XOR by Hand: View the document.

14.2. Neural Networks and Transformers (TOC): View the table of contents.

 

 
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