Monthly Archives: November 2016

satRday in Cape Town (from Exegetic Analytics)

November 30, 2016
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satRday in Cape Town (from Exegetic Analytics)

The second satRday (and first satRday on African soil) will happen in Cape Town on 18 August 2017. It’s going to be a one day celebration of R. We have a trio of phenomenal keynote speakers (Hilary Parker, Jenny Bryan and Julia Silge) who will be giving inspiring talks at the conference and also conducting … The post satRday in...

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Package ggguitar on CRAN

November 30, 2016
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Package ggguitar on CRAN

The initial release of ggguitar is available on CRAN!  This package allows you to create guitar tablature in the style of ggplot2.  As a quick example, the C Major chord shown above can be created as follows.library(ggguitar)C_M -__tablature('C Major', C_M)The tablature function takes the name of the chord for the first argument and a six element vector representing the...

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BERT: a newcomer in the R Excel connection

November 30, 2016
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BERT: a newcomer in the R Excel connection

A few months ago a reader point me out this new way of connecting R and Excel. I don’t know for how long this has been around, but I never came across it and I’ve never seen any blog post or article about it. So I decided to write a post as the tool is really

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ggplot2: multiple legends for the same aesthetic

November 30, 2016
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ggplot2: multiple legends for the same aesthetic

When working with ggplot2 you don't have to care about legend, it is automatically produced according to the mapped aesthetics. But producing separate legends for the same aesthetic is not easy. This article proposes a solution! The post ggplot2: multiple legends for the same aesthetic appeared first on Quantide - R training & consulting.

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Visualization Example: Interactive Oilfield Map

November 30, 2016
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Visualization Example: Interactive Oilfield Map

Recently I came across some R tutorials about creating interactive maps and I decided to build my own. I like the Google Maps interface design, so I wanted to make it look similar, i.e....

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vtreat data cleaning and preparation article now available on arXiv

November 30, 2016
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Nina Zumel and I are happy to announce a formal article discussing data preparation and cleaning using the vtreat methodology is now available from arXiv.org as citation arXiv:1611.09477 . vtreat is an R data.frame processor/conditioner that prepares real-world data for predictive modeling in a statistically sound manner. It prepares variables so that data has fewer … Continue reading vtreat...

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Extract Twitter Data Automatically using Scheduler R package

November 29, 2016
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Extract Twitter Data Automatically using Scheduler R package

The following R-script is for download the data automatically from twitter using the package SchedulerR. As first step we download the data using the OAuth protocol and store the data using as a name the date from the download. As second we used the package SchedulerR for to specify how long the script runs. This Related PostAn Introduction to...

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Russell 2000 Quantitative Stock Analysis in R: Six Stocks with Amazing, Consistent Growth

November 29, 2016
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Russell 2000 Quantitative Stock Analysis in R: Six Stocks with Amazing, Consistent Growth

The Russell 2000 Small-Cap Index, ticker symbol: ^RUT, is the hottest index of 2016 with YTD gains of over 18%. The index components are interesting not only because of recent performance, but because the top performers either grow to become mid-cap stocks or are bought by large-cap companies at premium prices. This means selecting the best components can result...

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How to create a ggplot Theme – Unicorn Edition

November 29, 2016
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How to create a ggplot Theme – Unicorn Edition

Themes are an convenient way to give ggplot charts an individualized, sometimes stylish look. Most of the time, I rely on the ggthemes package and the Economist style. Last week colleagues asked me to change the look of my charts. We joked around and I...

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Free online course: Analyzing big data with Microsoft R Server

November 29, 2016
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If you're already familiar with R, but struggling with out-of-memory or performance problems when attempting to analyze large data sets, you might want to check out this new EdX course, Analyzing Big Data with Microsoft R Server, presented by my colleague Seth Mottaghinejad. In the course, you'll learn how to build models using the RevoScaleR package, and deploy those...

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