Posted by R on Stats and R

Outliers detection in R

Introduction Descriptive statistics Minimum and maximum Histogram Boxplot Percentiles Hampel filter Statistical tests Grubbs’s test Dixon’s test Rosner’s test Additional remarks Reference Introduction An outlier is a value or an observation that is distant from other observations, … Continue reading →

Outliers detection in R

Introduction Descriptive statistics Minimum and maximum Histogram Boxplot Percentiles Hampel filter Statistical tests Grubbs’s test Dixon’s test Rosner’s test Additional remarks Introduction An outlier is a value or an observation that is distant from other observations, that is to … Continue reading →

Wilcoxon test in R: how to compare 2 groups under the non-normality assumption

Introduction 2 different scenarios Independent samples Paired samples Introduction In a previous article, we showed how to compare two groups under different scenarios using the Student’s t-test. The Student’s t-test requires that the distributions follow a normal distribution.1 In … Continue reading →

Wilcoxon test in R: how to compare 2 groups under the non-normality assumption

Introduction 2 different scenarios Independent samples Paired samples Introduction In a previous article, we showed how to compare two groups under different scenarios using the Student’s t-test. The Student’s t-test requires that the distributions follow a normal distribution1. In … Continue reading →

How to publish a Shiny app: example with shinyapps.io

Introduction Prerequisite Step-by-step guide Additional notes Introduction The COVID-19 virus led many people to create interactive apps and dashboards. A reader recently asked me how to publish a Shiny app she just created. Similarly to a previous article where I show how to upload R code … Continue reading →

How to publish a Shiny app: example with shinyapps.io

Introduction Prerequisite Step-by-step guide Additional notes Introduction The COVID-19 virus led many people to create interactive apps and dashboards. A reader recently asked me how to publish a Shiny app she just created. Similarly to a previous article where I show how to upload R code … Continue reading →

Correlation coefficient and correlation test in R

Introduction Data Correlation coefficient Between two variables Correlation matrix: correlations for all variables Interpretation of a correlation coefficient Visualizations A scatterplot for 2 variables Scatterplots for several pairs of variables Another simple correlation matrix Correlation … Continue reading →

Correlation coefficient and correlation test in R

Introduction Data Correlation coefficient Between two variables Correlation matrix: correlations for all variables Interpretation of a correlation coefficient Visualizations A scatterplot for 2 variables Scatterplots for several pairs of variables Another simple correlation matrix Correlation … Continue reading →

How to upload your R code on GitHub: example with an R script on MacOS

Introduction Prerequisite Step-by-step guide Additional notes Introduction Few days ago, a colleague asked me how to upload some R code on GitHub in order to make it accessible to everyone. Due to the lockdown, I could not just go into his office and show him on his computer. So I sent him … Continue reading →

How to upload your R code on GitHub: example with an R script on MacOS

Introduction Prerequisite Step-by-step guide Additional notes Introduction Few days ago, a colleague asked me how to upload some R code on GitHub in order to make it accessible to everyone. Due to the lockdown, I could not just go into his office and show him on his computer. So I sent him … Continue reading →

COVID-19 in Belgium: is it over yet?

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 Introduction Note 1: The present article has been written on May 22, 2020 and … Continue reading →

COVID-19 in Belgium: is it over yet?

Introduction New hospital admissions New confirmed cases Introduction This is a joint work with Prof. Niko Speybroeck and Angel Rosas-Aguirre. Belgium recently started to lift its lockdown measures initially imposed to contain the spread of the Covid-19. Following this decision taken by … Continue reading →

One-proportion and goodness of fit test (in R and by hand)

Introduction In R Data One-proportion test Assumption of prop.test() and binom.test() Chi-square goodness of fit test Does my distribution follow a given distribution? Observed frequencies Expected frequencies Observed vs. expected frequencies By hand One-proportion test Verification in … Continue reading →

One-proportion and goodness of fit test (in R and by hand)

Introduction In R Data One-proportion test Assumption of prop.test() and binom.test() Chi-square goodness of fit test Does my distribution follow a given distribution? Observed frequencies Expected frequencies Observed vs. expected frequencies By hand One-proportion test Verification in … Continue reading →

A package to download free Springer books during Covid-19 quarantine

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 Update The promotion has ended so it is not possible to download the books through R. … Continue reading →