Tags: R

The Monty Hall Problem

The original and most simple scenario of the Monty Hall problem is this: You are in a prize contest and in front of you there are three doors (A, B and C). Behind one of the doors is a prize (Car), while behind others is a loss (Goat). You first choose a door (let’s say door A). The contest host...
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Your First Machine Learning Project in R Step-By-Step

Do you want to do machine learning using R, but you’re having trouble getting started? In this post you will complete your first machine learning project using R. In this step-by-step tutorial you will: Download and install R and get the most useful package for machine learning in R. Load a dataset...
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R Consortium Looks for Feedback on R Package Best Practices

The R Consortium Infrastructure Steering Committee (ISC) is exploring the benefits of recommending that R package authors, contributors, and maintainers adopt the Linux Foundation (LF) Core Infrastructure Initiative (CII) Best Practices Badge. This badge provides a means for Free/Libre and Open...
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The Programming Languages You Should Learn Now

Learning a programming language is not hard. In fact, if you’re experienced, you can learn the basics in under 24 hours. So if you’re in the market for a new lingua franca, such as to bolster your hirability, what you choose next might be influenced by your current language of choice. Here are the...
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Julia vs R vs Python: Simple Optimization

In this post, I will try to compare and contrast Julia, R, and Python via a simple maximum likelihood optimization problem which is motivated by a problem from the credit risk domain and is discussed in more detail in this post. TL;DR For such a simple optimization problem, R, Julia, and Python/...
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Julia vs. Python: Julia Language Rises for Data Science

Python has turned into a data science and machine learning mainstay, while Julia was built from the ground up to do the job. Of the many use cases Python covers, data analytics has become perhaps the biggest and most significant. The Python ecosystem is loaded with libraries, tools, and...
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Why Use Docker with R? A DevOps Perspective

There have been several blog posts going around about why one would use Docker with R. In this post I’ll try to add a DevOps point of view and explain how containerizing R is used in the context of the OpenCPU system for building and deploying R servers. Has anyone in the #rstats world written...
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Let Us Know How You Are Using R and Data Science Tools Today

The R Consortium exists to promote the R language, environment, and community. The R community has seen significant growth -- with more than 2 million users worldwide -- and a broad range of organizations have adopted the R language as a data science platform. Now, to help us understand the...
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Top Programming Languages 2017: Focus on Jobs

While the default IEEE Spectrum ranking in the Top Programming Languages interactive gives a good aggregate signal of language popularity, here we are taking a deep dive into the metrics related to job demand. Two of our data sources, Dice and CareerBuilder, measure job openings for the languages...
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Python vs. R: The Battle for Data Scientist Mind Share

The difference between Python and R is largely philosophical. One is a full-service language developed by Unix scripters that happened to be adopted by stat heads, big data junkies, and social scientists. The other is a tool for data analysis designed and built by stat heads, big data junkies, and...
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