R: From Origins to Enterprise Hosting
Introduction R is a free statistical language first released in August 1993. It descends from S, a language built at
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R tips for statistical computing, data analysis, and data visualization to assist data modellers, statisticians, data scientists, and researchers.
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Descriptive Statistics in R: A Practical Approach
Introduction In our previous post, we covered the theory behind descriptive statistics — the formulas, notation, and intuition. Here, we
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The Art of Visualization with ggplot2
The CRAFT framework provides a structured and systematic approach to data visualization. This framework is platform-independent — it is not
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Conjugate Bayesian Models R
This page presents R code for implementing Bayesian conjugate models using standard prior–likelihood formulations and their associated posterior distributions. For
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Linear Model in R
For theoretical develpments, refer In R, linear models can be directly implemented using the base function lm( ) . The
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GLM Algorithm and R Libraries
Choosing the Right Link Function Generalised Linear Models (GLM) offer a flexible framework for regression analysis. When building a GLM
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Probability Distributions in R
The d, p, q, r Framework Introduction Every probability distribution in R is accessed through four functions sharing the same