Publications by Easy Guides
F-Test: Compare Two Variances in R
F-test is used to assess whether the variances of two populations (A and B) are equal. Contents When to you use F-test? Research questions and statistical hypotheses Formula of F-test Compute F-test in R R function Import and check your data into R Preleminary test to check F-test assumptions Compute F-test Interpretation of the result Access t...
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Saving High-Resolution ggplots: How to Preserve Semi-Transparency
This article describes solutions for preserving semi-transparency when saving a ggplot2-based graphs into a high quality postscript (.eps) file format. Contents: Create a ggplot with semi-transparent color Save ggplots with semi-transparent colors Use cairo-based postscript graphics devices Export to powerpoint Create a ggplot with semi-transp...
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Elegant correlation table using xtable R package
Correlation matrix analysis is an important method to find dependence between variables. Computing correlation matrix and drawing correlogram is explained here. The aim of this article is to show you how to get the lower and the upper triangular part of a correlation matrix. We will also use the xtable R package to display a nice correlation tab...
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simplyR
simplyR is a web space where we’ll be posting practical and easy guides for solving real important problems using R programming language. As we aren’t fans of unnecessary complications, we’ll keep the content of our tutorials / R codes as simple as possible. Many tutorials are coming soon. Topics we love include: R programming Biostatistic...
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Practical Guide to Principal Component Methods in R
Introduction Although there are several good books on principal component methods (PCMs) and related topics, we felt that many of them are either too theoretical or too advanced. This book provides a solid practical guidance to summarize, visualize and interpret the most important information in a large multivariate data sets, using principal com...
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The Ultimate Guide To Partitioning Clustering
In this first volume of symplyR, we are excited to share our Practical Guides to Partioning Clustering. The course materials contain 3 chapters organized as follow: K-Means Clustering Essentials Contents: K-means basic ideas K-means algorithm Computing k-means clustering in R Data Required R packages and functions: stats::kmeans() Estimating...
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ggpubr: Create Easily Publication Ready Plots
The ggpubr R package facilitates the creation of beautiful ggplot2-based graphs for researcher with non-advanced programming backgrounds. The current material presents a collection of articles for simply creating and customizing publication-ready plots using ggpubr. To see some examples of plots created with ggpubr click the following link: ggpub...
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Regression Analysis Essentials For Machine Learning
Regression analysis consists of a set of machine learning methods that allow us to predict a continuous outcome variable (y) based on the value of one or multiple predictor variables (x). Briefly, the goal of regression model is to build a mathematical equation that defines y as a function of the x variables. Next, this equation can be used to pr...
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