Statistics

Multivariate Generalized Linear Mixed Models (MGLMMs) in R

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Multivariate Generalized Linear Mixed Models (MGLMMs) are an advanced class of statistical models designed to analyze multiple correlated response variables that follow non-Gaussian distributions and arise from hierarchical or clustered data structures. These models extend Generalized Linear Mixed Models (GLMMs) by simultaneously modeling several outcomes while accounting for within-subject or within-cluster correlations. MGLMMs are especially … Read more

Mastering Advanced Statistics Using R

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Statistics is the backbone of data-driven decision-making, and R has become the go-to tool for statisticians and data analysts worldwide. With its rich ecosystem of libraries and intuitive syntax, R simplifies complex statistical analysis and empowers users to extract actionable insights from data. This blog will walk you through the fundamentals and advanced features of … Read more

R Cheat Sheet For Everyone

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R is a powerful programming language used for data analysis and statistical computing. Here is a quick reference guide to get you started with R programming. Basic Syntax: Data Types: Vectors: Matrices: DataFrames: Reading Data: Data Manipulation: Plotting: Statistics:

Most Important Algorithms That You Should Know

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Algorithms are used by all of us all the time with or without our direct knowledge. They have applications in many different disciplines, from math and physics to, of course, computing. These are the most important algorithms that you should know. 1. Boolean (binary) algebra You might be familiar with the term Boolean from mathematics, logic, and computer coding. It was … Read more

Best Statistical Analysis Software

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Statistical software is a specialized computer program which helps you to collect, organize, analyze, interpret and statistically design data. There are two main statistical techniques which help in statistical data analysis: descriptive statistics and inferential statistics. Descriptive statistics organize data from a sample using indexes. Inferential statistics draw a conclusion from data that is a … Read more