02/10/26
Abstract
This document provides the table of contents for my publications on RPubs, which consist of R Markdown documents created in RStudio. The theoretical background and related materials can be consulted in RPubs :: Links and Materials, while additional documents that may be of interest are available at RPubs :: toc.
0.1. Class Notes in PDF: View the class notes.
0.2. Courses and Seminars Taught: View the courses and seminars.
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.
2.0. 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.
3.0. 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.
4.0. Statistics I - Basic Statistics without R and Theory Only (TOC): View the table of contents.
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.
6.1. Probability without R - Theory Only (TOC): View the table of contents.
6.2. Probability with R (TOC): View the table of contents.
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.
8.1. 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.
9.0. 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):
10.0. Statistics II - Inferential Statistics without R - Theory Only - GitHub (TOC): View the table of contents.
11.0. Mathematical Statistics with R (TOC): View the table of contents.
12.1. Generalized Linear Models (TOC): View the table of contents.
12.2. Logistic Regression (TOC): View the table of contents.
13.1. Multivariate Analysis (TOC - Long Version): View the table of contents.
13.2. Multivariate Analysis (TOC - Short Version): View the table of contents.
14.1. XOR by Hand: View the document.
14.2. Neural Networks and Transformers (TOC): View the table of contents.
If you found any ERRORS or have SUGGESTIONS, please report them to my email. Thanks.