I recently wrote about an API for @racently. The next logical step was to build a package which wraps the API so that the data can easily be pulled into R. The package is available here. It is still very much a work in progress: the API only exposes t...

I recently wrote about an API for @racently. The next logical step was to build a package which wraps the API so that the data can easily be pulled into R. The package is available here. It is still very much a work in progress: the API only exposes two ...

In our last post on valuation, we looked at whether Apple’s historical mutiples could help predict future returns. The notion was that since historic price multiples (e.g., price-to-earnings) reflect the market’s value of the company, when the mult...

In our last post on valuation, we looked at whether Apple’s historical mutiples could help predict future returns. The notion was that since historic price multiples (e.g., price-to-earnings) reflect the market’s value of the company, when the multiple is low, Apple’s stock is cheap, so buying ...

The year 2020 marks the 20th anniversary of the release of R version 1.0.0! To celebrate this, we are inviting the community of R users and developers for a two-day celebRation workshop/mini-conference on February 28-29th 2020 in Copenhagen. We kick off on 28th February with hands-on workshops on two hot topics, ...

Practical Data Science with R 2nd Edition is now in-stock at Amazon.com! Buy it for your favorite data scientist in time for the holidays!

Version 0.1.3 of the lintools package was accepted on CRAN today. This version brings a few internal improvements and switches the testing suite to the tinytest test infrastructure. lintools is provides basic manipulations of linear systems of equalities and inequalities … Continue reading →

Before we start anything, I’d like to mention that most of the hard work came from nsaunders and his great blog post Idle thoughts lead to R internals: how to count function arguments. Let’s get started. The aim of this blog is to capture the number of arguments ...

Precision recall (PR) curves are useful for machine learning model evaluation when there is an extreme imbalance in the data and the analyst is interested particuarly in one class. A good example is credit card fraud, where the instances of fraud are extremely few compared with non fraud. Here are ...

One of the problems that we usually face with ggplot is that rearranging the bars in ascending or descending order. If that problem is solved using reorder() or fct_reorder(), the next problem is when we have facets and ordering bars within each facet. Recently I came acrosss this function ...