This blog post is about my recently released package on CRAN, geojsonR. The following notes and examples are based mainly on the package Vignette. “GeoJSON is an open standard format designed for representing simple geographical features, ... [Read more...]

Trying gradient descent for linear regression The best way to learn an algorith is to code it. So here it is, my take on Gradient Descent Algorithm for simple linear regression. First, we fit a simple linear model with lm for comparison with gradient... [Read more...]

A fast method to add annotations to a plot Making professional looking plots in R can be fiddly. One task that I often spend ages doing is manually finding coordinates to add labels. Wouldn’t it be nice if you could just send the coordinates directl... [Read more...]

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Even most sophisticated machine learning methods, most beautiful visualisations and perfect datasets can be useless if you do your research carelessly and ignore the context of your code execution. In this article, you will read about a few situations ... [Read more...]

A new minor version of the nanotime package for working with nanosecond timestamps arrived yesterday on CRAN. nanotime uses the RcppCCTZ package for (efficient) high(er) resolution time parsing and formatting up to nanosecond resolution, and the bit6... [Read more...]

My family and I love boardgames.  We are also on the lookout for new ones that would fit with the ones we already like to play.  So I decided to create a boardgame recommendation websitehttps://larrydag.shinyapps.io/boardgame_reco/I built it using R.  The recommendation engine uses a ... [Read more...]

Multilabel classification has lately gained growing interest in the research community. We implemented several methods, which make use of the standardized mlr framework. Every available binary learner can be used for multilabel problem transformation methods. So if you’re interested in using several multilabel algorithms and want to know how ... [Read more...]

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Redmonk have once again updated (a little later than usual) their bi-annual programming language report with their January 2017 rankings. If you haven't come across these rankings before, they are based on GitHub contributions and StackOverflow questions related to around 40 commonly-used programming languages. The raw data (as of January 2017) is shown ... [Read more...]

@eddelbuettel’s idea is a good one. (it’s a quick read…jump there and come back). I often wait for a complete example or new package announcement to blog something when a briefly explained snippet might have sufficient utility for many R users. Also, tweets are fleeting and twitter ... [Read more...]

Speaking publicly about your data science projects is one of the best things you can do for your portfolio. Writing your presentation will help you refine... The post How to Reach More People with your Next Data Science Talk appeared first on AriLamstein.com. [Read more...]

Data science enhances people’s decision making. Doctors and researchers are making critical decisions every day. Therefore, it is absolutely necessary for those people to have some basic knowledge of data science. This series aims to help people that are around medical field to enhance their data science skills. We ... [Read more...]

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So I had been toying with the idea of getting back to the blog and more regularly writing / posting little tips and tricks. I even starting taking some notes but because perfect is always the enemy of the good it never quite materialized. But the rel... [Read more...]

I’m happy to announce my first R package, called brotools. This is a package that contains functions that are specific to my needs but that you might find also useful. I blogged about some of these functions, so if you follow my blog you might already be familiar with ... [Read more...]

I’m happy to announce my first R package, called brotools. This is a package that contains functions that are specific to my needs but that you might find also useful. I blogged about some of these functions, so if you follow my blog you might already be familiar with ... [Read more...]

I want to give a quick tutorial on fitting Linear Mixed Models (hierarchical models) with a full variance-covariance matrix for random effects (what Barr et al 2013 call a maximal model) using Stan. For a longer version of this tutorial, see: Sorensen, Hohenstein, Vasishth, 2016. Prerequisites: You need to have R and ... [Read more...]

A short post to alert the world that my modest Shiny application, showing Major League Baseball run scoring trends since 1901, has been updated to include the 2016 season. The application can be found here:https://monkmanmh.shinyapps.io/MLBrunscoring_shiny/.In addition to the underlying data, the update removed some of ... [Read more...]