Articles by Easy Guides

Regression Analysis Essentials For Machine Learning

March 21, 2018 | Easy Guides

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 ... [Read more...]


August 19, 2017 | Easy Guides

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 simpl... [Read more...]

Elegant correlation table using xtable R package

August 7, 2017 | Easy Guides

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 ... [Read more...]

Saving High-Resolution ggplots: How to Preserve Semi-Transparency

August 4, 2017 | Easy Guides

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-transparent color To illustrate this, ... [Read more...]

F-Test: Compare Two Variances in R

August 2, 2017 | Easy Guides

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 ... [Read more...]

Bar Plots and Modern Alternatives

June 28, 2017 | Easy Guides

This article describes how to create easily basic and ordered bar plots using ggplot2 based helper functions available in the ggpubr R package. We’ll also present some modern alternatives to bar plots, including lollipop charts and cleveland’s dot plots. Note that, the approach to build a bar plot, ... [Read more...]

Add P-values and Significance Levels to ggplots

June 8, 2017 | Easy Guides

In this article, we’ll describe how to easily i) compare means of two or multiple groups; ii) and to automatically add p-values and significance levels to a ggplot (such as box plots, dot plots, bar plots and line plots …). Contents: Prerequisites Methods for comparing means R functions to add ... [Read more...]

Survminer Cheatsheet to Create Easily Survival Plots

March 23, 2017 | Easy Guides

We recently released the survminer verion 0.3, which includes many new features to help in visualizing and sumarizing survival analysis results. In this article, we present a cheatsheet for survminer, created by Przemysław Biecek, and provide an overview of main functions. survminer cheatsheet The cheatsheet can be downloaded from STHDA ... [Read more...]

survminer 0.3.0

March 20, 2017 | Easy Guides

I’m very pleased to announce that survminer 0.3.0 is now available on CRAN. survminer makes it easy to create elegant and informative survival curves. It includes also functions for summarizing and inspecting graphically the Cox proportional hazards model assumptions. This is a big release and a special thanks goes to ... [Read more...]

Practical Guide to Cluster Analysis in R – Book

February 7, 2017 | Easy Guides

Introduction Large amounts of data are collected every day from satellite images, bio-medical, security, marketing, web search, geo-spatial or other automatic equipment. Mining knowledge from these big data far exceeds human’s abilities. Clustering is one of the important data mining methods for discovering knowledge in multidimensional data. The goal ... [Read more...]

Survival Analysis

December 12, 2016 | Easy Guides

Survival analysis corresponds to a set of statistical methods for investigating the time it takes for an event of interest to occur. In this chapter, we start by describing how to fit survival curves and how to perform logrank tests comparing the survival time of two or more groups of ... [Read more...]

survminer 0.2.4

December 12, 2016 | Easy Guides

I’m very pleased to announce survminer 0.2.4. It comes with many new features and minor changes. Install survminer with:
To load the package, type this:
ContentsNew features Minor changes Bug fixes Summary of survival curves Plot survival curves Determine the optimal cutpoint for continuous variables Facet the output ... [Read more...]
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