Missed the Ekiti R-Users Group session on the Relative Importance Index? Here is the recording, the install line, and a full worked example using the free RII package — from raw survey data to a ranked table, a chart and an Excel report.
RII in R: Recording, Datasets, Code and a Worked Example Read More »
R Packages, Tutorials📅 Saturday, October 10, 2026⏰ 12:00 Noon (WAT)📺 Live on YouTube — free to join🔗 Watch here: https://www.youtube.com/watch?v=ZezD-5crlzsWe’ll cover the Relative Importance Index (RII) — what it is, and how to compute it in R instead of Excel, using the free RII package. Real messy survey data, live coding, and Q&A included.Get a head start
From Spreadsheet to Script: A Practical Introduction to RII Analysis in R Read More »
Blog PostsTime series analysis provides a powerful framework for understanding and predicting website traffic patterns, enabling data-driven decision-making Introduction In today’s digital landscape, understanding and analyzing website traffic is crucial for businesses, bloggers, and developers. One powerful method for gaining insights from traffic data is time series analysis. Time series analysis helps to uncover patterns, trends, and
Time series analysis on Website Traffic Data Read More »
Blog PostsIntroduction Partial Least Squares Structural Equation Modeling (PLS-SEM) is a statistical approach used to estimate complex cause-effect relationship models involving latent constructs and their indicators. It’s widely used in fields like marketing, management, psychology, and social sciences, particularly when traditional covariance-based SEM (CB-SEM) assumptions are too restrictive or the data do not meet normality or
Partial Least Squares Structural Equation Modeling (PLS-SEM) Read More »
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