Stats and R

Here is a summary of press mentions of the blog: How can we predict the evolution of COVID 19 in Belgium?

Introduction Prerequisite Step-by-step guide Additional notes Conclusion Introduction A few days ago, a colleague asked me how to upload some R code on GitHub in order to make it accessible to everyone.

Introduction New hospital admissions Overall By period Zooming in Patients in hospitals Patients in intensive care Confirmed cases By province By age group and sex Static Dynamic By age group, sex and province Conclusion Introduction Note 1: The present a…

Introduction In R Data One-proportion test Assumption of prop.test() and binom.test() Chi-square goodness of fit test Assumptions Does my distribution follow a given distribution?

Update Introduction Installation Download all books at once Create a table of Springer books Download only specific books By title By author By subject Improvements Acknowledgments Conclusion Update The promotion has ended so it is not possible to download

Introduction Top R resources on Coronavirus Coronavirus dashboard for your own country Motivations, limitations and structure of the article Analysis of Coronavirus in Belgium A classic epidemiological model: the SIR model Fitting a SIR model to the Belgi…

Introduction Top R resources on Coronavirus Coronavirus dashboard: the case of Belgium How to create your own Coronavirus dashboard Additional notes Data Open source Accuracy Publish your dashboard Conclusion Coronavirus dashboard: the case of Belgium Int…

Introduction Perform multiple tests at once Concise and easily interpretable results T-test Additional p-value adjustment methods ANOVA To go even further Update with the {ggstatsplot} package Conclusion References Introduction As part of my teaching assi…

R Shiny apps and dashboards Coronavirus tracker Coronavirus dashboard from the {coronavirus} package Visualization of Covid-19 Cases Modeling COVID-19 Spread vs Healthcare Capacity COVID-19 Data Visualization Platform Coronavirus 10-day forecast Coronavir…

Introduction Null and alternative hypothesis Hypothesis testing Two versions of the one-sample t-test How to compute the one-sample t-test by hand?

What is probability?

Who is behind this blog?

Introduction Null and alternative hypothesis Hypothesis testing Different versions of the Student’s t-test How to compute Student’s t-test by hand?

Introduction Correlation matrix Correlogram Correlation test Code {ggstatsplot} package {lares} package All possible correlations Correlation of one variable against all others Conclusion References Introduction Correlation, often computed as part of desc…

R Markdown: what, why and how?

What is clustering analysis?

Stats and R welcomes guest posts that provide unique insight into statistics and R.

What is an R package and how to use it?

What is a normal distribution?

Introduction Hypotheses Example Data Observed frequencies Expected frequencies Fisher’s exact test in R Conclusion and interpretation Combination of plot and statistical test Conclusion References Introduction After presenting the Chi-square test of indep…

Introduction Data Chi-square test of independence in R Conclusion and interpretation Combination of plot and statistical test Introduction This article explains how to perform the Chi-square test of independence in R and how to interpret its results.

Introduction Hypotheses How the test works?

What are RStudio addins?

Introduction Minimal reproducible example How to personalize it Additional note Conclusion Introduction In this article, I show how to create a timeline of your CV in R.

Introduction Data Minimum and maximum Range Mean Median First and third quartile Other quantiles Interquartile range Standard deviation and variance Summary Coefficient of variation Mode Correlation Contingency table Mosaic plot Barplot Histogram Boxplot…

Run code Insert a comment in R and R Markdown Knit a R Markdown document Code snippets Ordered list in R Markdown New code chunk in R Markdown Reformat code RStudio addins {pander} and {report} for aesthetics Extract equation model with {equatiomatic} Pri…

On this blog, I share my knowledge in the form of free articles and tutorials about statistics and R.

Introduction Location versus dispersion measures Location Minimum and maximum Mean Median Odd number of observations Even number of observations Mean vs. median \(1^{st}\) and \(3^{rd}\) quartiles \(q_{0.25}\), \(q_{0.75}\) and \(q_{0.5}\) A note on decil…

Introduction Sample vs. population Why a sample?

Simple linear regression is a statistical method to summarize and study relationships between two variables.

Statistics is divided into four main branches: Descriptive statistics Inferential statistics Predictive analysis Exploratory analysis Descriptive statistics provide a summary of the data; it helps explaining the data in a concise way without losing too mu…

Like me, if you like traveling as much as R you might want to draw a world map of the countries you have visited in R.

Step-by-step guide If you have developed and deployed a Shiny app and would like to embed it in blogdown, follow these steps: create a new post as usual add output: html_document if it is not already included in the YAML metadata insert the following HTML…

UPDATE: Due to the limitation in terms of maximum number of Shiny apps that can be published on the free shinyapps.io plan, the Shiny app presented below has been unpublished.

UPDATE: Due to the limitation in terms of maximum number of Shiny apps that can be published on the free shinyapps.io plan, the Shiny app presented below has been unpublished.

Below a Shiny app to help you read the main statistical tables: Statistics-101 This Shiny app helps you to compute probabilities for the main probability distributions.

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Introduction Different types of variables for different types of statistical analysis Big picture Quantitative Discrete Continuous Qualitative Nominal Ordinal Variable transformations From continuous to discrete From quantitative to qualitative Additional…

What data types exist in R?

Introduction Requirements Create a booklist Create it in Excel then import it Create it directly in R Make it interactive Add URLs with your affiliate link to the table Extract affiliate link Append the book title and author to make it automatic Add links…

This is my personal blog written and edited by me (Antoine Soetewey).

A list of all the pages and articles found on the blog.

Introduction Vectors Concatenation seq() and rep() Assignment Elements of a vector Type and length Finding the vector type Modifications of type and length Numerical operators Logical operators all() and any() Operations on character strings vector Orders…

Introduction Transform an Excel file to a CSV file R working directory Get working directory Set working directory User-friendly method Via the console Via the text editor Import your dataset User-friendly way Via the text editor Import SPSS (.sav) files…

What is R and RStudio?

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hello world This is the first post for the blog Stats and R, just to introduce it.

My name is Antoine Soetewey.