R Programming 101
This channel provides teaching videos on data analysis and statistical analysis using R programming. The teaching videos include subjects like data cleaning, data manipulation, data visualization, statistical analysis, and machine learning and AI (artificial intelligence). This channel's content incudes both R programming for beginners and advanced data analysis and visualization.
Программирование на R с использованием искусственного интеллекта. Как использовать пакет chattr д...
Использование ИИ для написания кода R
Сегодня я изучал R — советы и рекомендации для тех, кто изучает программирование на R
Shiny for beginners
R vs Python
Today I Learned in R - all about LISTS
Annotate your plots and graphs with ggplot.
gtExtras tables in R programming
Create functions in R
Today I learned in R programming.
Advanced ggplot - using ggplot2 and lubridate together for data visualization
Interactive tables using the DT package in R
RStudio for beginners
Importing data from excel into R studio
The across( ) function in R programming. A tidyverse function to make cleaning data easy.
Today I Learned in R programming - learn about bind_row() and an alternative to group_by()
Today I Learned In R Programming - learn about RDS files and the here package
Quarto Dashboards
Quarto - How to use YAML in R Studio to configure your quarto document
Quarto - adding text and citations, footnotes to your document
Quarto - inserting executable code as code chunks into your document
Quarto crash course - what you can do with quarto
Tidytuesday data - How to get it into R Studio
Logistic Regression - Model Assumptions
Building your model with Logistic Regression - made easy with R programming
Collinearity in logistic regression using R programming
Effect modifiers and interaction terms in Logistic Regression. An R programming tutorial.
Logistic regression modelling using R programming. How to control for confounding variables.
Logistic regression using R programming. How to add variables to your model.
Logistic regression using R programming - using a single categorical variable in your model.