Meet the new Microsoft R Server: Microsoft ML Server 9.2

September 26, 2017
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Microsoft R Server has received a new name and a major update: Microsoft ML Server 9.2 is now available. ML Server provides a scalable production platform for R — and now Python — programs. The basic idea is that a local client can push R or Python code and have it operationalized on the remote server. ML Server is...

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Regular Expression Searching within Shiny Selectize Objects

September 26, 2017
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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 que...

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13 new R Jobs for R users (2017-09-26) – from all over the world

September 26, 2017
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13 new R Jobs for R users (2017-09-26) – from all over the world

To post your R job on the next post Just visit  this link and  post  a new R job  to the R community. You can post a job for  free  (and there are also “featured job” options available for extra exposure). Current R jobs Job seekers:  please follow the links below to learn more and apply for your R job of interest:...

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Working with air quality and meteorological data Exercises (Part-4)

September 26, 2017
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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 import data from air quality Related exercise sets: Working with...

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Microsoft Cognitive Services Vision API in R

September 26, 2017
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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 a shot. I whipped this example

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Machine Learning with R – upcoming course in Belgium

September 26, 2017
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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 first time this was given 4 years ago. During...

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R live class | R for Data Science | Oct 4-5 Milan

September 26, 2017
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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 right solution for you, this is the your class. This...

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When are Citi Bikes Faster than Taxis in New York City?

September 26, 2017
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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 taxi data and Citi Bike share data, and it occurred to...

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Data.Table by Example – Part 1

September 26, 2017
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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 users with a syntatically concise and

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How to Create an Interactive Infographic

September 25, 2017
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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...

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Regular Expression Searching within Shiny Selectize Objects

September 25, 2017
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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 lists, since you can return multiple item simultaneously without needing...

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What is the appropriate population scaling of the Affordable Care Act Funding?

September 25, 2017
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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 … From what I can gather, these figures are attempting to...

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News Roundup from Microsoft Ignite

September 25, 2017
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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 is now available. This is the new name...

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Custom Level Coding in vtreat

September 25, 2017
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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 statistically preferable to one-hot encoding … Continue reading Custom...

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Time Series Analysis in R Part 2: Time Series Transformations

September 25, 2017
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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 you feel I left Related Post Time Series Analysis...

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Speeding Up Digital Arachnids

September 25, 2017
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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 the spiderbar. (Check the end... Continue reading →

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Survival Analysis with R

September 24, 2017
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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 . Basic life-table methods, including techniques for dealing with censored data, were discovered before 1700 , and in the early eighteenth century, the old masters...

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Super excited for R promises

September 24, 2017
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Super excited for R promises

We at Appsilon are excited about RStudio introducing promises in R quite soon which is going to be a huge step forward in programming in R (we have already used futures and similar libraries to run code asynchronously, however this is going to be a sta...

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eXtremely Boost your machine learning Exercises (Part-1)

September 24, 2017
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eXtremely Boost your machine learning Exercises (Part-1)

eXtreme Gradient Boosting is a machine learning model which became really popular few years ago after winning several Kaggle competitions. It is very powerful algorithm that use an ensemble of weak learners to obtain a strong learner. Its R implementation is available in xgboost package and it is really worth including into anyone’s machine learning Related exercise sets: Model Evaluation...

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RcppGSL 0.3.3

September 24, 2017
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A maintenance update RcppGSL 0.3.3 is now on CRAN. It switched the vignette to the our new pinp package and its two-column pdf default. The RcppGSL package provides an interface from R to the GNU GSL using the Rcpp package. No user-facing new code or...

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Postgresql + R Sandbox

September 23, 2017
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Postgresql + R Sandbox

ElephantSQL ElephantSQL offers a free instance of Postgresql, with a limit of 20 MB and 5 concurrent connections. For example, you can upload a shiny application that depends on data from ElephantSQL. You only need to register to the site and automat...

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RcppCNPy 0.2.7

September 23, 2017
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A new version of the RcppCNPy package arrived on CRAN yesterday. RcppCNPy provides R with read and write access to NumPy files thanks to the cnpy library by Carl Rogers. This version updates internals for function registration, but otherwise mostly s...

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RcppClassic 0.9.8

September 23, 2017
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A bug-fix release RcppClassic 0.9.8 for the very recent 0.9.7 release which fixes a build issue on macOS introduced in 0.9.7. No other changes. Courtesy of CRANberries, there are changes relative to the previous release. Questions, comments etc shoul...

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Upcoming data preparation and modeling article series

September 23, 2017
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Upcoming data preparation and modeling article series

I am pleased to announce that vtreat version 0.6.0 is now available to R users on CRAN. vtreat is an excellent way to prepare data for machine learning, statistical inference, and predictive analytic projects. If you are an R user we strongly suggest you incorporate vtreat into your projects. vtreat handles, in a statistically sound … Continue reading Upcoming...

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Hacking statistics or: How I Learned to Stop Worrying About Calculus and Love Stats Exercises (Part-9)

September 23, 2017
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Hacking statistics or: How I Learned to Stop Worrying About Calculus and Love Stats Exercises (Part-9)

Statistics are often taught in school by and for people who like Mathematics. As a consequence, in those class emphasis is put on leaning equations, solving calculus problems and creating mathematics models instead of building an intuition for probabilistic problems. But, if you read this, you know a bit of R programming and have access Related exercise sets: Hacking statistics...

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How Random Forests improve simple Regression Trees?

September 22, 2017
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How Random Forests improve simple Regression Trees?

By Gabriel Vasconcelos Regression Trees In this post I am going to discuss some features of Regression Trees an Random Forests. Regression Trees are know to be very unstable, in other words, a small change in your data may drastically … Continue reading →

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Welcome to R/exams

September 22, 2017
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Welcome to R/exams

Welcome everybody, we are proud to introduce the brand new web page and blog http://www.R-exams.org/. This provides a central access point for the open-source software “exams” implemented in the R system for statistical computing. R/exams is a one-...

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Big Data Analytics with H20 in R Exercises -Part 1

September 22, 2017
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Big Data Analytics with H20 in R Exercises -Part 1

We have dabbled with RevoScaleR before , In this exercise we will work with H2O , another high performance R library which can handle big data very effectively .It will be a series of exercises with increasing degree of difficulty . So Please do this in sequence . H2O requires you to have Java installed Related exercise sets: Big Data...

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Tutorial: Launch a Spark and R cluster with HDInsight

September 22, 2017
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If you'd like to get started using R with Spark, you'll need to set up a Spark cluster and install R and all the other necessary software on the nodes. A really easy way to achieve that is to launch an HDInsight cluster on Azure, which is just a managed Spark cluster with some useful extra components. You'll just...

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