## Recent articles

## Cluster Analysis in R Simplified and Enhanced

In R, standard clustering methods (partitioning and hierarchical clustering) can be computed using the R packages stats an...

## DBSCAN: Density-Based Clustering Essentials

DBSCAN (Density-Based Spatial Clustering and Application with Noise), is a density-based clusering algorithm, introduced i...

## Model Based Clustering Essentials

The traditional clustering methods, such as hierarchical clustering (Chapter @ref(agglomerative-clustering)) and k-means cl...

## cmeans() R function: Compute Fuzzy clustering

This article describes how to compute the fuzzy clustering using the function cmeans() [in e1071 R package]. Previously, we...

## Fuzzy C-Means Clustering Algorithm

In our previous article, we described the basic concept of fuzzy clustering and we showed how to compute fuzzy clustering....

## Fuzzy Clustering Essentials

The fuzzy clustering is considered as soft clustering, in which each element has a probability of belonging to each cluster...

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## Recent tutorials

## ggpubr: Create Easily Publication Ready Plots

The ggpubr R package facilitates the creation of beautiful ggplot2-based graphs for researcher with non-advanced programmi...

## 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 materia...

## 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 th...

## Elegant correlation table using xtable R package

Correlation matrix analysis is an important method to find dependence between variables. Computing correlation matrix...

## 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 quali...

## 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 u...

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## Popular tutorials

Correlation matrix : A quick start guide to analyze, format and visualize a correlation matrix using R software

ggplot2 axis ticks : A guide to customize tick marks and labels

ggplot2 colors : How to change colors automatically and manually?

ggplot2 - Easy way to mix multiple graphs on the same page

ggplot2 legend : Easy steps to change the position and the appearance of a graph legend in R software

Principal component analysis in R : prcomp() vs. princomp() - R software and data mining

ggplot2 barplots : Quick start guide - R software and data visualization

Add legends to plots in R software : the easiest way!

ggplot2 box plot : Quick start guide - R software and data visualization

ggplot2 axis scales and transformations

Text mining and word cloud fundamentals in R : 5 simple steps you should know

ggplot2 title : main, axis and legend titles

Cluster Analysis in R - Unsupervised machine learning

Visualize correlation matrix using correlogram

R xlsx package : A quick start guide to manipulate Excel files in R

ggplot2 axis ticks : A guide to customize tick marks and labels

ggplot2 colors : How to change colors automatically and manually?

ggplot2 - Easy way to mix multiple graphs on the same page

ggplot2 legend : Easy steps to change the position and the appearance of a graph legend in R software

Principal component analysis in R : prcomp() vs. princomp() - R software and data mining

ggplot2 barplots : Quick start guide - R software and data visualization

Add legends to plots in R software : the easiest way!

ggplot2 box plot : Quick start guide - R software and data visualization

ggplot2 axis scales and transformations

Text mining and word cloud fundamentals in R : 5 simple steps you should know

ggplot2 title : main, axis and legend titles

Cluster Analysis in R - Unsupervised machine learning

Visualize correlation matrix using correlogram

R xlsx package : A quick start guide to manipulate Excel files in R

## Forum

- 09/22 ggplot2:Defining different y-axis limits in the same boxplot graph when using 2 facets
- 09/01 ggplot2: Changing geom_jitter in specific colors
- 08/16 [Solved] How to colour individuals by custom continuous variable?
- 08/11 [Solved] Remove outlier points in boxplots with jitter
- 08/11 [Solved] How to use p.adj in stat_compare_means()?
- 08/11 [Solved] How to Display Japanese Characters in ggpie()?
- 08/11 [Solved] Text Justification in ggtexttable()
- 08/09 [Solved] fviz_cluster(): Visualizing Clusters with PC3 and PC4
- 08/07 [Solved] How to Change Text Font Family in ggsurvplot
- 08/06 [Solved] survminer font size in at risk table

## Books on data science

## Practical Guide to Principal Component Methods in R

This book provides a solid practical guidance to summarize, visualize and interpret the most important information in a large mu...[Read more]

## R Cookbook: Proven Recipes for Data Analysis, Statistics, and Graphics

With more than 200 practical recipes, this book helps you perform data analysis with R quickly and efficiently....[Read more]

## R Graphics Cookbook: Practical Recipes for Visualizing Data

This practical guide provides more than 150 recipes to help you generate high-quality graphs quickly, without having to comb th...[Read more]

## Hands-On Machine Learning with Scikit-Learn and TensorFlow

By using concrete examples, minimal theory, and two production-ready Python frameworks - scikit-learn and TensorFlow - author A...[Read more]

## Practical Guide to Cluster Analysis in R

Although there are several good books on unsupervised machine learning, we felt that many of them are too theoretical. This book...[Read more]

## R in Action: Data Analysis and Graphics with R

R in Action, Second Edition presents both the R language and the examples that make it so useful for business developers. Focus...[Read more]

## An Introduction to Applied Multivariate Analysis with R

An Introduction to Applied Multivariate Analysis with R explores the correct application of these methods so as to extract as m...[Read more]

## Applied Predictive Modeling

Applied Predictive Modeling covers the overall predictive modeling process, beginning with the crucial steps of data preprocess...[Read more]

## Practical Statistics for Data Scientists: 50 Essential Concepts

This practical guide explains how to apply various statistical methods to data science, tells you how to avoid their misuse, an...[Read more]

## R for Marketing Research and Analytics

This book is a complete introduction to the power of R for marketing research practitioners. The text describes statistical mod...[Read more]

## R for Data Science

This book introduces you to R, RStudio, and the tidyverse, a collection of R packages designed to work together to make data sc...[Read more]

[See More...]