… The post Can Python displace R for Data Science? appeared first on Vertabelo Academy Blog.

Just a little fun today… the R console isn’t the most interesting of things… text is typically either black or red (assuming default settings in RStudio). There’s a package though called crayon which allows one to change the style of text in terms of colour, background and some ...

Last year I decided to take out the domain Choroplethr.com. I used it to host information about Choroplethr, my suite of R packages for mapping... The post New Version of Choroplethr.com! appeared first on AriLamstein.com.

Some time ago, Maëlle Salmon published a very nice post showing how she scraped her mathematical family tree from the Mathematics Genealogy Project. Of course I immediately wanted to produce my own! I am not a mathematician myself, but one of my PhD supervisor has a PhD in mathematics. ...

If your new to modelling in R and don’t know what this title means, you definitely want to look into doing it. I’ve always been a fan of converting model outputs to real-life quantities of interest. For example, I like to supplement a logistic regression model table with ...

I’ll be giving talks and workshops at the following three upcoming conferences; hope to meet some of you there! From 15th to 17th October 2018, I’ll be in London for the M-cubed conference. My talk about Explaining complex machine learning models with LIME will take place on October 16 Traditional ...

Evolutionary biologists are increasingly using R for building, editing and visualizing phylogenetic trees. The reproducible code-based workflow and comprehensive array of tools available in packages such as ape, phangorn and phytools make R an ideal platform for phylogenetic analysis. Yet the many different tree formats are not well integrated, as ...

1. Improve sampler efficiency by picking the right model We need to address how we specify our models before even discussing writing code that is...

rquery and rqdatatable are new R packages for data wrangling; either at scale (in databases, or big data systems such as Apache Spark), or in-memory. The speed up both execution (through optimizations) and development (though a good mental model and up-front error checking) for data wrangling tasks. Win-Vector LLC‘s ...