13 new R Jobs for R users (2017-09-26) – from all over the world
[social4i size=”large” align=”float-right”] To post your R job on the next post Just visit this link and post a new R job to the R [Read more...]
2017
Working with air quality and meteorological data Exercises (Part-4)
Atmospheric air pollution is one of the most important environmental concerns in many countries around the world, and it is strongly affected by meteorological conditions. Accordingly, in this set of exercises we use openair package to work and analyze air quality and meteorological data. This packages provides tools to directly ... [Read more...]
Microsoft Cognitive Services Vision API in R
Microsoft Cognitive Services Vision API in R A little while ago I did a brief tutorial of the Google Vision API using RoogleVision created by Mark Edmonson. I couldn’t find anything similar to that in R for the Microsoft Cognitive Services API so I thought I would give it ...
Infamous Inf – Part I
R’s Inf keyword – Have you’ve ever wondered what to do with it? If so, this is the first in series of posts that explore how we can exploit the keyword’s interesting properties to get the answers we need and improve code robustness. For those unfamiliar with R’... [Read more...]
Traveling Salesman
In the second part of the course on graphs and networks, we will focus on economic applications, and flows. The first series of slides are on the traveling salesman problem. Slides are available online.
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Machine Learning with R – upcoming course in Belgium
For R users interested in Machine Learning, you can attend our upcoming course on Machine Learning with R which is scheduled on 16-17 October 2017 in Leuven, Belgium. This is now the 4th year this course is given at the university of Leuven so we made quite some updates since the ... [Read more...]
R live class | R for Data Science | Oct 4-5 Milan
R for Data Science is our first course of the autumn term. It takes place in October 4-5 in a location close to Milano Lima.
If you want to deepen your data analysis knowledge using the most modern R tools, or you want to figure out if R is the ... [Read more...]
When Are Citi Bikes Faster Than Taxis in New York City?
Every day in New York City, millions of commuters take part in a giant race to determine transportation supremacy. Cars, bikes, subways, buses, ferries, and more all compete against one another, but we never get much explicit feedback as to who “wins.” I’ve previously written about NYC’s public ...
When are Citi Bikes Faster than Taxis in New York City?
Every day in New York City, millions of commuters take part in a giant race to determine transportation supremacy. Cars, bikes, subways, buses, ferries, and more all compete against one another, but we never get much explicit feedback as to who “wins.” I’ve previously written about NYC’s public ... [Read more...]
Data.Table by Example – Part 1
For many years, I actively avoided the data.table package and preferred to utilize the tools available in either base R or dplyr for data aggregation and exploration. However, over the past year, I have come to realize that this was a mistake. Data tables are incredible and provide R ...
How to Create an Interactive Infographic
An interactive infographic can be used to communicate a lot of information in an engaging way. With the right tools, they are also relatively straightforward to create. In this post, I show step-by-step how to...
Regular Expression Searching within Shiny Selectize Objects
regexSelect is a small package that uses Shiny modules to solve a problem in Shiny selectize objects - regular expression (regex) searching. You can quickly filter the values in the selectize object, while being able to add that new regex query to the selectize list.
This is great for long ... [Read more...]
What is the appropriate population scaling of the Affordable Care Act Funding?
I have been trying to decipher for myself, what is in the current (well, yesterday’s) Graham-Cassidy health care bill. I saw this image on many news outlets a few days ago and my inner hate for pie charts bubbled up.
This is a zoom in on the pie chart … ...
News Roundup from Microsoft Ignite
It's been a big day for the team here at Microsoft, with a flurry of announcements from the Ignite conference in Orlando. We'll provide more in-depth details in the coming days and weeks, but for now here's a brief roundup of the news related to data science: Microsoft ML Server 9.2 ... [Read more...]
Custom Level Coding in vtreat
One of the services that the R package vtreat provides is level coding (what we sometimes call impact coding): converting the levels of a categorical variable to a meaningful and concise single numeric variable, rather than coding them as indicator variables (AKA "one-hot encoding"). Level coding can be computationally and ... [Read more...]
The Battle of Bayesian Home Run Models
The regular Major League Baseball season is coming to an end. Next week, we move into the playoffs and eventually the World Series. However, we have a nice statistical modeling question playing out in this last week. Giancarlo Stanton of … Continue reading →
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Time Series Analysis in R Part 2: Time Series Transformations
In Part 1 of this series, we got started by looking at the ts object in R and how it represents time series data. In Part 2, I’ll discuss some of the many time series transformation functions that are available in R. This is by no means an exhaustive catalog. If ...
Speeding Up Digital Arachnids
spiderbar, spiderbar Reads robots rules from afar. Crawls the web, any size; Fetches with respect, never lies. Look Out! Here comes the spiderbar. Is it fast? Listen bud, It's got C++ under the hood. Can you scrape, from a site? Test with can_fetch(), TRUE == alright Hey, there There goes ...
medmod – mediation and moderation in jamovi and R
tl;dr You can now do mediation and moderation analyses in jamovi and R with medmod Use medmod for an easy transition to lavaan
Survival Analysis with R
With roots dating back to at least 1662 when John Graunt, a London merchant, published an extensive set of inferences based on mortality records, survival analysis is one of the oldest subfields of Statistics [1]. Basic life-table methods, including techniques for dealing with censored data, were discovered before 1700 [2], and in the early ...
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