Cross Tabulation with Xtabs exercises

May 12, 2016
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Cross Tabulation with Xtabs exercises

The xtabs() function creates contingency tables in frequency-weighted format. Use xtabs() when you want to numerically study the distribution of one categorical variable, or the relationship between two categorical variables. Categorical variables are also called “factor” variables in R. Using a formula interface, xtabs() can create a contingency table, (also a “sparse matrix”), from cross-classifying

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Data Science Boot Camp

May 12, 2016
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Data Science Boot Camp

If you live in or near Toronto, are interested in learning about data science, and can spare Friday afternoons, then you are in luck. I am offering a Data Science Boot Camp at Ryerson University in collaboration with IBM's BigDataUniversity.com. The Boot Camp is largely...

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For a short time: Half Off Some Manning Data Science Books

May 12, 2016
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Our publisher Manning Publications is celebrating the release of a new data science in Python title Introducing Data Science by offering it and other Manning titles at half off until Wednesday, May 18. As part of the promotion you can also use the supplied discount code mlcielenlt for half off some R titles including R … Continue reading...

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Good R Packages

May 12, 2016
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Good R Packages

by Joseph Rickert What makes for a good R package? With over 8,000 packages up on CRAN the quantity of packages is clearly not an issue for R users. Developing an instinct to recognize quality, however, both requires and deserves some effort. I regularly spend time on Dirk Eddelbuettel’s CRANberries site investigating new packages and monitoring changes in old...

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R Saturday [satRday] in Cape Town

May 12, 2016
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R Saturday [satRday] in Cape Town

I put in a proposal to host a R Saturday in Cape Town next year. The R Consortium has committed to funding three of these events: one will be in Hungary, another will be somewhere in the USA and the third will be elsewhere in the world. The voting has opened for the location The post

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German Temperature Data

May 12, 2016
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German Temperature Data

Temperatures Personally, I thrive in cooler weather. In fact, any temperature above 20°C is summer for me, and anything above 25°C is hot. Most people don’t understand me, but I prefer cold over warm. Fact: if it’s cold, you can put on another piece of clothing until you’re feeling warm again. If, however, it’s warm… Well, there’s only a limited...

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googleformr at Work: Pneumatic Road Tube Allegory

May 11, 2016
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googleformr at Work: Pneumatic Road Tube Allegory

Steve Simpson (@data_steve) created the googleformr package to enable users to easily send information to a Google Form.  It’s a nice way to send and securely store data via R and the price is great…FREE! A Pneumatic Road Tube Allegory…Kinda … Continue reading →

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How To Compute Turnover With Return.Portfolio in R

May 11, 2016
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How To Compute Turnover With Return.Portfolio in R

This post will demonstrate how to take into account turnover when dealing with returns-based data using PerformanceAnalytics and the Return.Portfolio … Continue reading →

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Free e-book: Effective Graphs with Microsoft R Open

May 11, 2016
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Free e-book: Effective Graphs with Microsoft R Open

R is a powerful system for creating data visualizations. In fact, R gives you so many options for creating charts that it can be hard to know the best way to communicate effectively. To help you present your data as effectively as possible using R, there's a new (and free) e-book available to download: Effective Graphs with Microsoft R...

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satRday location voting now open

May 11, 2016
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satRdays, free R conferences, are a project being supported by the R Consortium. When Gergely and I submitted our proposal, we said we’d be supporting three conferences: Budapest, Hungary (Gergely’s home turf) Somewhere in the US Somewhere else in the world We’ve had an overwhelming response with 40 submitted conferences but for the fully-funded ones, The post

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Plotting App for ggplot2 (Part 2)

May 11, 2016
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Plotting App for ggplot2 (Part 2)

Through this post, I would like to provide an update to my plotting app, which I first blogged about here. The app is available as part of my package RtutoR, which is published on CRAN.(The app is also hosted at shinyapps.io. However, unlike the package version, you would not be able to use your own Plotting App for...

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Gantt Charts in R using Plotly

May 10, 2016
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2016-05-11 18_55_17-Clipboard

Gantt Charts are a great way to keep track of timelines, progress of specific aspects of the project and resource utilization. Project Managers and anyone familiar with Microsoft Project would be familiar with Gantt Charts. Here’s how to make one in R using Plotly’s R API.

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Faster arrays and matrices in jsonlite 0.9.20

May 10, 2016
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Faster arrays and matrices in jsonlite 0.9.20

Yesterday a new version of the jsonlite package was released to CRAN. This update includes no new features, it only introduces performance optimizations. Large Matrices The jsonlite package was already highly optimized for converting vect...

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AISTATS 2016 [#1]

May 10, 2016
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AISTATS 2016 [#1]

Travelling through Seville, I arrived in Càdiz on Sunday night, along with a massive depression . Walking through the city from the station was nonetheless pleasant as this is an town full of small streets and nice houses. If with less churches than Seville! Richard Samworth gave the first plenary talk of AISTATS 2016  with

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Bike Rental Demand Estimation with Microsoft R Server

May 10, 2016
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Bike Rental Demand Estimation with Microsoft R Server

by Katherine Zhao, Hong Lu, Zhongmou Li, Data Scientists at Microsoft Bicycle rental has become popular as a convenient and environmentally friendly transportation option. Accurate estimation of bike demand at different locations and different times would help bicycle-sharing systems better meet rental demand and allocate bikes to locations. In this blog post, we walk through how to use Microsoft...

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Beaten by sheer pace! Cricket analytics with yorkr in paperback and Kindle versions

May 10, 2016
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Beaten by sheer pace! Cricket analytics with yorkr in paperback and Kindle versions

My book “Beaten by sheer pace! Cricket analytics with yorkr” is now available in paperback and Kindle versions. The paperback is available from Amazon (US, UK and Europe) for $ 54.95. The Kindle version can be downloaded from the Kindle store for $4.99 (Rs 332/-). Do pick up your copy. It should be a good

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New #rstats Podcast – R World News

May 10, 2016
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Keeping up with R-related news on Twitter, GitHub, CRAN & even R-Bloggers (et al) can be an all-encompassing task that may be fun, but doesn’t always make it easy to get work done. There is so much going on in the R community that we (myself and @jayjacobs) felt there was room for another podcast... Continue reading →

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Intro to Statistics with R Series

May 9, 2016
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Intro to Statistics with R Series

We are proud to announce we have made some huge updates to our Intro to Statistics with R series. Over 100 challenges and more than 30 videos are redesigned from scratch. Our intro to statistics with R courses have always been some of our most popular. Over 30,000 (!) students have taken this series and provided...

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The Mad Hatter Explains Support Vector Machines

May 9, 2016
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The Mad Hatter Explains Support Vector Machines

"Hatter?" asked Alice, "Why are support vector machines so hard to understand?" Suddenly, before you can ask yourself why Alice is studying machine learning in the middle of the 19th century, the Hatter disappeared. "Where did he go?" thought Alice as ...

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In case you missed it: April 2016 roundup

May 9, 2016
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In case you missed them, here are some articles from April of particular interest to R users. Lukasz Piwek recreates classic graphs from Tufte's 'The Visual Display of Quantitative Information' in R. A preview of upcoming R conferences in Europe. Andrie de Vries updates the data on R package growth on CRAN, and finds a segmented regression model with...

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addinslist package: An RStudio addin to discover and install RStudio addins

May 9, 2016
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addinslist package: An RStudio addin to discover and install RStudio addins

RStudio addins were released in early 2016 to provide anyone with the ability to add “extensions” to RStudio. This feature has quickly become popular, but discoverability was a problem: there was just no easy way to know what addins exist. To address that issue, one month ago I created a GitHub repo with a list of RStudio addins...

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Adobe: Give Credit. You DID NOT Write RSiteCatalyst.

May 9, 2016
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Adobe: Give Credit. You DID NOT Write RSiteCatalyst.

As an author of several open-source software projects, I’ve taken for granted that people using the software share the same community values as I do. Open-source authors provide their code “free” to the community so that others may benefit without having to re-invent the wheel. The only expectation (but not an actual requirement per se), is

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Preparing the data for modelling with R

May 9, 2016
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Preparing the data for modelling with R

Detect sentinel values, recode factor variables, replace missing values: a tutorial on various steps in data preparation using R. The post Preparing the data for modelling with R appeared first on MilanoR.

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Webinar Recap: Shapefiles for R Programmers

May 9, 2016
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Webinar Recap: Shapefiles for R Programmers

Last week I ran two webinars on my new course, Shapefiles for R Programmers. If you were interested in watching, but unable attend, you can watch a replay below: Some thoughts on webinars I ran my first webinar about 6 months ago. Before running it I was unsure what to expect. However, it immediately became clear The post

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Introduction to R for Data Science :: Session 2

May 9, 2016
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Introduction to R for Data Science :: Session 2

Welcome to Introduction to R for Data Science Session 2! The course is co-organized by Data Science Serbia and Startit. You will find all course material (R scripts, data sets, SlideShare presentations, readings) on these pages. Lecturers dipl. ing Branko Kovač, Data Analyst at CUBE, Data Science Mentor at Springboard, 

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How to be Bayesian and spare yourself a dreadful afternoon with your stupid football team losing the derby

May 9, 2016
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How to be Bayesian and spare yourself a dreadful afternoon with your stupid football team losing the derby

Yesterday was the second-last game of the Italian Serie A; I've been a Sampdoria supported since I was 12 $-$ at that time, they were starting to become one of the best clubs in Serie A (and that was back in the 80's when Serie A was arguably the best ...

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What’s the difference between machine learning, statistics, and data mining?

May 9, 2016
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What’s the difference between machine learning, statistics, and data mining?

Over the last few blog posts, I’ve discussed some of the basics of what machine learning is and why it’s important: – Why machine learning will reshape software engineering – What is the core task of machine learning – How to get started in machine learning in R Throughout those posts, I’ve been using the The post

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“Data Mining with R” Course | May 17-18

May 9, 2016
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Discover Data Mining with R: find patterns in large data sets using the R tools for Dimensionality Reduction, Clustering, Classification and Prediction. The post "Data Mining with R" Course | May 17-18 appeared first on MilanoR.

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feedbackr ⤌ R-devs + useRs

May 9, 2016
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feedbackr  ⤌  R-devs  + useRs

from Wikimedia In my last post I explained why I added a feedback function to googleformr. Since googleformr is an API for collecting data programmatically, I figured I’d leverage it for package development and accessibility. Below I’ll show how you can add your own feedback function to your package. Create your own feedback function First, make sure to...

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