R Tutorials

Explore a comprehensive series of R tutorials covering a wide range of statistical and data visualization techniques. Learn to perform medical statistics in under 90 minutes, apply the Hotelling T-squared test, and utilize the WDI library for World Bank data analysis. Dive into deep learning with Keras, understand convolutional neural networks, and create various charts using Plotly. Master categorical variable tests, including G tests and exact tests of goodness of fit. Discover how to extract COVID-19 information from JHU data and calculate relative risk and efficacy using the AstraZeneca vaccine trial as an example. Enhance your R programming skills and data analysis capabilities through these practical and diverse tutorials.

Medical statistics using R in less than 90 minutes.
Hotelling T-squared test using R.
How to use the WDI library in R for World Bank data.
Introducing Keras for deep learning in R.
Understanding convolutions in a CNN.
Bar charts using Plotly for R.
Histograms using Plotly for R.
Change histogram colors using Plotly for R.
Box and whisker plots using Plotly for R.
Tests for categorical variables using R.
G tests for categorical variables using R.
Exact test of goodness of fit using R.
Plot colors in Plotly and RColorBrewer.
How to extract COVID-19 info from JHU data using R.
Relative risk and efficacy using AstraZeneca vaccine trial.