As part of the development of a Shiny application for production using {golem}, we recommend, among other things, working with Shiny-modules. The communication of data between the different modules can be complex. At ThinkR we use a strategy: the stratégie du petit r. We explain everything in this article. ...

Motivation I’ve written before about my learning plans, which always seem to be in a state of flux, and in particular learning about machine learning. Part of the reason why I’m so reticent is because I’m a mathematician and statistics does not come natural or easy for ...

Remember Magic Eye pictures? It was a craze in the 1990s where you would get books of abstract Pollockesque images, and, using a special technique, you could see a “3D” image. The technique, which I could never properly master, was to see “through” the page, focusing your gaze on a ...

A lot has been written on the importance of a portfolio if you are looking for a DataScience role. Ideally, you should document your learning journey so that you can reuse code, write well-documented code and also improve your data storytelling skills. However, most students and beginners get stumped on ...

On Stack Overflow the question was asked how to numerically integrate a function over a infinite range in Rcpp, e.g. by using RcppNumerical. As an example, the integral \[ \int_{-\infty}^{\infty} \mathrm{d}x \exp\left(-\frac{(x-\mu)^4}{2}\right) \] was given. Using RcppNumerical is straight forward. ...

On Stack Overflow the question was asked how to numerically integrate a function over a infinite range in Rcpp, e.g. by using RcppNumerical. As an example, the integral \[ \int_{-\infty}^{\infty} \mathrm{d}x \exp\left(-\frac{(x-\mu)^4}{2}\right) \] was given. Using RcppNumerical is straight forward. ...

The tabr package for creating guitar tablature (“tabs”) from R code is now available on CRAN. tabr provides programmatic music notation and a wrapper around LilyPond for creating quality guitar tablature. This post is just a quick update to mention that v0.3.0 has now been released on CRAN. And since ...

Introduction This is a follow up post of using simple models to explain machine learning predictions. In the last post, we introduced logistic regression and in today’s entry we will learn about decision tree. We will continue to use the Cleveland heart dataset and use tidymodels principles where possible. ...

Here at Appsilon, while developing projects for our clients, we frequently encounter recurrent challenges. This pushes us to create solutions that simplify the development process – making our day-to-day work more efficient. Those usually start as internal tools, but we don’t want to keep those great packages just to ourselves! ...

The background Seed germination data describe the time until an event of interest occurs. In this sense, they are very similar to survival data, apart from the fact that we deal with a different (and less sad) event: germination instead of death. B...

The background Seed germination data describe the time until an event of interest occurs. In this sense, they are very similar to survival data, apart from the fact that we deal with a different (and less sad) event: germination instead of death. B...

The background Seed germination data describe the time until an event of interest occurs. In this sense, they are very similar to survival data, apart from the fact that we deal with a different (and less sad) event: germination instead of death. But, seed germination data are also similar to ...

I started learning R back in 2016 in college thanks to a couple of my professors who used it to teach statistics: Dr. Grimshaw and Dr. Lawson. Thanks to the R community I’ve learned a lot more since then, but recently I did an embarrassing Google search for “how to ...