rbokeh Version 0.5.0 Released
The rbokeh package version 0.5.0 was recently released. For those not familiar with rbokeh, it is a plotting library based on BokehJS with the goal of making it easy to...continue reading.
Category: R
mapmate 0.1.0
mapmate has now been updating from version 0.0.2 to 0.1.0 on Github. The biggest addition is a number of plotting options for making different kinds of maps. The new tutorial...continue reading.
Fastest Way to Add New Variables to A Large Data.Frame
pkgs <- list("hflights", "doParallel", "foreach", "dplyr", "rbenchmark", "data.table") lapply(pkgs, require, character.only = T) data(hflights) benchmark(replications = 10, order = "…continue reading.
Creating figures like the paper ‘Completeness of Digital Accessible Knowledge of Plants of Ghana’ Part 1
Recently I got to read the paper about Completeness of Digital Accessible Knowledge DAK by Alex Asase and A. Townsend Peterson. I really enjoyed reading the paper and liked the way the...continue reading.
mapmate 0.0.2
mapmate is an R package for map- and globe-based data animation pre-production. Specifically, mapmate functions are used to generate and save to disk a series of global map graphics that...continue reading.
7th MilanoR meeting + talks live streaming
On 27th of October I’m going to attend the 7th MilanoR meeting featuring the following two talks: 1. Interactive big data analysis with R: SparkR and MongoDB: a friendly walkthrough ...continue reading.
Visualizing Arkansas traffic fatalities, part 4
This is the latest post in a series analyzing Arkansas traffic fatalities. Please take a look at parts 1 (a map of 2015 traffic deaths), 2 (heat maps of fatalities...continue reading.
Remove all user installed packages in R
A little while ago I ran into an issue with R and RStudio. In order to solve this issue I saw myself forced to remove all user installed packages. For...continue reading.
How to remove all user installed packages in R
An R script that helps you remove all user installed packagescontinue reading.
MACD + SMI Trend Following and Parameter Optimization
Finally a somewhat profitable strategy to analyze! This post will walk through the development of my MACD + SMI strategy, including my experience with parameter optimization and trailing stops. This...continue reading.
Visualizing Arkansas traffic fatalities, Part 3
This is the latest post in a series analyzing Arkansas traffic fatalities. Please take a look at part 1 (a map of 2015 traffic deaths) and part 2 (a heat...continue reading.
Progress bar overhead comparisons
As a testament to my obsession with progress bars in R, here is a quick investigation about the overhead cost of drawing a progress bar during computations in R. I...continue reading.
Progress bar overhead comparisons
As a testament to my obsession with progress bars in R, here is a quick investigation about the overhead cost of drawing a progress bar during computations in R. I...continue reading.
A set of #rstats #AdventureTime themed #openscience slide decks
Purpose I recently completed a set of data science for biostatistics training exercises for graduate students. I extensively used R for Data Science and Efficient R programming to develop a set of...continue reading.
What you need to know about data augmentation for machine learning
Plentiful high-quality data is the key to great machine learning models. But good data doesn’t grow on trees, and that …Continue reading →continue reading.
Are People in Colder Countries Taller? in Julia
Continuing to play with Julia and data visualizations. This time I decided to replicate a scatterplot created by Matt Stiles examining the relationship between a country’s average temperature and its...continue reading.
A Bayesian Information Criterion for Singular Models
On Wednesday, Mathias Drton and I will be presenting a read paper on Bayesian model choice for singular models at the Royal Statistical Society in London. You can read more...continue reading.
Visualizing Arkansas traffic fatalities, Part 2
A couple of weeks ago, I posted a map of the traffic fatalities in Arkansas in 2015. The data came from the NHTSA, and the graphic I posted was just...continue reading.
A simple workflow for deep learning
As a follow-up to my Primer On Universal Function Approximation with Deep Learning, I’ve created a project on Github that …Continue reading →continue reading.
How to combine Google Maps with a Choropleth shapefile of Holland in R: Amsterdam neighbourhoods (postal codes) by number of customers
This blog hands you the R code needed to create a choropleth heatmap on top of a Google Maps plot of Amsterdam. With this plot you can easily compare the...continue reading.
