What makes a restaurant child friendy, and how can I use data to predict it? That’s the question I spent the last two months on. As part of my capstone submission to Johns Hopkins University’s Data Science Specialization, I used R to build a a machine-learning prediction algorithm ... [Read more...]

by Andrie de Vries I am preparing for a demonstration of functionality of R at a conference next week. For maximum impact, I wanted to use a fast virtual machine in Azure. It is actually very easy to build a fresh machine (cloud or otherwise) that contains R as well ... [Read more...]

The ‘safemode’ package provides a safemode() function that creates a “safe mode” session in R. In “safe mode”, all symbols have an “age” (a last-modified time stamp) and a set of dependent symbols, and a warning is issued whenever a … Continue reading → [Read more...]

In this tutorial we will have a look at how you can write a basic for loop in R. It is aimed at beginners, and if you’re not yet familiar with the basic syntax of the R language we recommend you to first have a look at this introductory ... [Read more...]

"If our goal as a field is to use data to solve problems, then we need to move away from exclusive dependence on data models and adopt a more diverse set of tools."Leo BreimanStatistical Modeling: The Two CulturesBreiman ends the opening abstract of hi... [Read more...]

"If our goal as a field is to use data to solve problems, then we need to move away from exclusive dependence on data models and adopt a more diverse set of tools."Leo BreimanStatistical Modeling: The Two CulturesBreiman ends the opening abstract of his "manifesto" to the statistical community ... [Read more...]

A new package! A couple of weeks ago folks at Google released CCTZ: a C++ library for translating between absolute and civil times using the rules of a time zone. It requires only a proper C++11 compiler and the standard IANA time zone data base which standard Unix, Linux, OS ... [Read more...]

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by Bob Horton Sr. Data Scientist at Microsoft Common table expressions (CTEs, or “WITH clauses”) are a syntactic feature in SQL that makes it easier to write and use subqueries. They act as views or temporary tables that are only available during the lifetime of a single query. A more ... [Read more...]

I was surprised to see there weren’t more of these types of calculators in the R community. Inflation and adjusted payments seem like they would be more common. I was able to find a way to gather Consumer Price Index data using the quantmod package but quantmod leaves you ... [Read more...]

By Mark Sellors, Technical Architect – Mango Solutions As more and more Data Science moves from individuals working alone, with small data sets on their laptops, to more productionised, or analytically mature settings, an increasing number of restrictions are being … Continue reading → [Read more...]

by Doug Ashton, Mango Solutions @dougashton  Doug Ashton Data Science Radar – Nov 2015 1. Tell us a bit about your background in Data Science. I was a physicist for 10 years where I used Monte Carlo simulations to solve … Continue reading → [Read more...]

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Exercise 1 Create an array (3 dimensional) of 24 elements using the  dim()  function. Exercise 2 Create an array (3 dimensional) of 24 elements using the  array()  function. Exercise 3 Assign some dimnames of your choice to the array using the  dimnames()  function. Exercise 4 Assign some dimnames of your choice to the array using […] [Read more...]

I had the great pleasure time to attend the Warsaw R meetup last Thursday. The organisers Olga Mierzwa and Przemyslaw Biecek had put together an event with a focus on R in Insurance (btw, there is a conference with the same name), discussing examples of pricing and reserving in general ... [Read more...]

I had the great pleasure time to attend the Warsaw R meetup last Thursday. The organisers Olga Mierzwa and Przemyslaw Biecek had put together an event with a focus on R in Insurance (btw, there is a conference with the same name), discussing examples of pricing and reserving in general ... [Read more...]

In the last tutorial, we developed a simple shiny R App to provide a tool to collect and analyze PubMed data. There was some interest in learning more about RISmed itself, so I’ll back up a little and present some of the core RISmed package. About PubMed and RISmed ... [Read more...]

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