Recent posts – Paolo Bosetti

Rank-Order Clustering

R

algorithms

Oftentimes, a process can be described by an incidence matrix: a logical matrix that shows the relationship between two classes of objects.

Normality plot

statistics

R

ggplot

One of the most common graphical techniques for checking the normality of a sample is the quantile-quantile (or Q-Q) plot. It plots a scatter of the sample quantiles versus…

Recurring Satistics

statistics

algorithms

recursion

R

This memo reports the calculation scheme that can be adopted for calculating sample mean and variance statistics by using a pair of recurrence formulas. This approach comes…

Linearity of an instrument

measurement

R

Recently, I had to explain how to evaluate the linearity of an instrument, defined as its maximum deviation from a purely linear relationship between input (the measurand)…

Clustering with DBSCAN

tips

clustering

purrr

R

In this post we will show how to cluster a dataset using the DBSCAN algorithm. We will use the dbscan package, which is a very efficient implementation of the algorithm.

Multivariate Covariance

tips

tidyverse

R

statistics

Multivariate distributions are the multi-dimensional equivalent to common distributions. The univariate normal distribution \(\mathcal{N}(\mu, \sigma)\), for example, has a…

Tukey’s plots

tips

tidyverse

R

statistics

See this previous post for more on plotting Tukey’s tests with GGplot2.

TiKz and GGplot2

tips

tidyverse

R

LaTeX

TikZ

RMarkdown and Quarto notebooks can create beautiful documents via knitr and LaTeX, we know that. But we can do even better: we can use TikZ to create plots that are…

Tukey’s test

tips

tidyverse

R

statistics

The Tukey’s test is a very useful statistical test to compare the means of different samples. It is a multi-sample version of the Student’s T-test.

Passing dot to ggplot2

coding

R

tidyverse

I’m starting with a little lifesaver of a trick that I recently learned on hot to reuse the input data in a ggplot2 call.

Welcome!

news

First post here. I plan to add some R, C, C++ code snippets and some other stuff. Stay tuned!