449 search results for "market research"

suRprise! – Classifying Kinder Eggs by Boosting

December 22, 2016
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suRprise! – Classifying Kinder Eggs by Boosting

Abstract Carrying the Danish tradition of Juleforsøg to the realm of statistics, we use R to classify the figure content of Kinder Eggs using boosted regression trees for the egg's weight and possible rattling noises. This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. The markdown+Rknitr source code...

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Replicating CRSP Volatility Decile Portfolios in R

December 7, 2016
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Replicating CRSP Volatility Decile Portfolios in R

  Introduction In this post, I provide R code that enables the replication of the Center for Research in Security Prices (CRSP) Volatiliy Deciles using Yahoo! Finance data. This post is related to my last blog post in that it will generate the CRSP low volatility decile portfolio, thereby facilitating the replication of the associated … Continue...

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How to send bulk email to your students using R

December 1, 2016
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How to send bulk email to your students using R

In this post I write about a technique I use to send personalized bulk emails to my students at the open and distance education university where I teach (the Universidad Nacional Abierta in Venezuela, or UNA, for short). Being able to mass-email students with personalized messages is should be an important issue in any distance education setup. However, as...

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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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A computer vision challenge: finding boats in the Mona Lisa

November 11, 2016
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A computer vision challenge: finding boats in the Mona Lisa

About a decade or so photomosaics were all the rage: a near-recreation of a famous image by using many smaller images as elements. Here, for example, is the Mona Lisa, created using the Metapixel program by overlaying 32x32 images of vehicles and animals. An image like this presents an interesting computer vision challenge: can you use deep learning techniques...

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An overview of text mining visualisations possibilities with R on the CETA trade agreement

An overview of text mining visualisations possibilities with R on the CETA trade agreement

Text Mining has become quite mainstream nowadays as the tools to make a reasonable text analysis are ready to be exploited and give astoundingly nice and reasonable results. At BNOSAC, we use it mainly for text mining on call center data, poetry, salesforce data, emails, HR reviews, IT logged tickets, customer reviews, survey feedback and many more. We also...

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August Package Picks

October 21, 2016
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August Package Picks

.fusion-fullwidth-1 { padding-left: px !important; ...

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How to “get good at R”

October 18, 2016
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How to “get good at R”

Recently a few people in my membership site have asked me the following question: How can I get good at R? This has come up enough... The post How to “get good at R” appeared first on AriLamstein.com.

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7th MilanoR Meeting: October 27

October 11, 2016
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7th MilanoR Meeting: October 27

MilanoR is a free event, open to all R users and enthusiasts or those who wish to learn more about R. The meeting consists of two talks (this time one about big data and and one about statistical learning) + a free buffet and networking time The post 7th MilanoR Meeting: October 27 appeared first on

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R Puzzle No. 2 – Where’s the zebra?

October 5, 2016
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R Puzzle No. 2 – Where’s the zebra?

For the second R puzzle, we will tackle the famous Zebra Puzzle, sometimes known as Einstein's Puzzle or Einstein's Riddle. There are various implementations of solutions to the puzzle in different programming languages1, but here we will be using R and an R package called lpSolve, which is intended to solve linear programming problems. I had a lot...

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