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Stéphane Laurent

Stéphane Laurent

Tags associés : r

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Stéphane Laurent Stéphane Laurent
Articles : 7
Depuis : 25/11/2012
Categorie : Technologie & Science

Articles à découvrir

Sample size determination for a Gaussian mean

Sample size determination for a mean Sample size determination for a mean This article explains the methodology implemented in the Shiny application availbale at http://glimmer.rstudio.com/stla/samplesize_mean/ Statement of the problem Consider a preliminary experiment \( {\cal E}_0 \), whose issue is a sample \( y_0 \) of size \( n_0=5 \) generate

A reactive sliced 3D surface response in a html report with Shiny

A reactive sliced 3D surface response A reactive sliced 3D surface response In my previous article I showed an interactive 3D surface response fitted from a model with two continous predictors. But when there is more than two continuous predictors, since we can use only two predictors at time in the image, we can only show a surface plot depending

Schematizing the variance as a moment of inertia

In order to make a presentation, I was wondering how to display the variance of a distribution, or the variance, of a sample on a graphic. Finally, I've found this solution: What is this “ellipse” with an arrow ? This is a picture commonly used in classical mechanics to represent the moment of inertia of a body spinning around an axis of rotati

Using Julia to compute the Kantorovich distance

GLPK library In the article 'Using R to compute the Kantorovich distance' I have shown how to use the cddlibb C library through R with the help of the rccd R package to compute the Kantorovich distance between two probability measures (on a finite set). In the present article I show how to do so using three different ways with Julia: GLPK: Similarl