January 2016

Hierarchical Clustering in R

January 22, 2016 | Teja Kodali

Hello everyone! In this post, I will show you how to do hierarchical clustering in R. We will use the iris dataset again, like we did for K means clustering. What is hierarchical clustering? If you recall from the post about k means clustering, it requires us to specify the ... [Read more...]

Getting Started with Markov Chains: Part 2

January 22, 2016 | Joseph Rickert

by Joseph Rickert In a previous post, I showed some elementary properties of discrete time Markov Chains could be calculated, mostly with functions from the markovchain package. In this post, I would like to show a little bit more of the functionality available in that package by fitting a Markov ... [Read more...]

Kaggle: Santa’s Stolen Sleigh

January 22, 2016 | Andrew Collier

This morning I read Wendy Kan's interesting post on Creating Santa's Stolen Sleigh. I hadn't really thought too much about the process of constructing an optimisation competition, but Wendy gave some interesting insights on the considerations involved in designing a competition which was both fun and challenging but still computationally ... [Read more...]

Modelling With the Generalized Hermite Distribution

January 22, 2016 | Dave Giles

"Count" data occur frequently in economics. These are simply data where the observations are integer-valued - usually 0, 1, 2, ....... . However, the range of values may be truncated (e.g., 1, 2, 3, ....). To model data of this form we typically resort to distributions such as the Poisson, negative binomial, or variations of these. These variations ... [Read more...]

Modelling With the Generalized Hermite Distribution

January 22, 2016 | Dave Giles

"Count" data occur frequently in economics. These are simply data where the observations are integer-valued - usually 0, 1, 2, ....... . However, the range of values may be truncated (e.g., 1, 2, 3, ....).To model data of this form we typically resort to distributions such as the Poisson, negative binomial, or variations of these. These variations ... [Read more...]

Fun Data for teaching R

January 21, 2016 | ibartomeus

I’ll be running an R course soon and I am looking for fun (public) datasets to use in data manipulation and visualization. I would like to use a single dataset that has some easy variables for the first days, but … Continue reading → [Read more...]

RStudio Addin Code-Helpers for Plotting

January 21, 2016 | R Contour - R

There are many benefits to teaching undergraduate statistics with R–especially in the RStudio environment–but it must be admitted that the learning curve is fairly steep, especially when it comes to tinkering with plots to get them to look just the way one wants. If there were ever a ... [Read more...]

Upcoming Microsoft R Webinars

January 21, 2016 | David Smith

A quick heads-up that I'll be presenting a live webinar on Thursday January 28, Introduction to Microsoft R Open. If you know anyone that should get to know R and/or Microsoft R Open, send 'em along. Here's the abstract: Data Science is a strategic initiative for most companies today, who ... [Read more...]

Learn R From Scratch – Part 3

January 21, 2016 | Selva Prabhakaran

In the previous tutorial, of the “Learn R From Scratch” series, we learn very important concepts such as lists, dataframes and how to import and export data from R. This time, we will discuss more practical aspects such as exploring built-in datasets, handling dates, writing functions and debugging. In this ...
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A Checkpoint Of Spanish Football League

January 20, 2016 | aschinchon

I am an absolute beginner, but I am absolutely sane (Absolute Beginners, David Bowie) Some time ago I wrote this post, where I predicted correctly the winner of the Spanish Football League several months before its ending. After thinking intensely about taking the risk of ruining my reputation repeating the ...
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Win-Vector data science mailing list (and a give-away!)

January 20, 2016 | John Mount

Win-Vector LLC is starting a data science mailing list that we would like you to sign up for. It is going to be a (deliberately infrequent) set of updates including Win-Vector LLC notices, upcoming speaking events, and data science products. To kick this off we will be awarding 5 free permanent ... [Read more...]

Prepping Data for Analysis using R

January 20, 2016 | John Mount

Nina and I are proud to share our lecture: “Prepping Data for Analysis using R” from ODSC West 2015. Nina Zumel and John Mount ODSC WEST 2015 It is about 90 minutes, and covers a lot of the theory behind the vtreat data preparation library. We also have a Github repository including all ...
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Jim Albert’s Baseball Blog

January 20, 2016 | Bob Carpenter

Jim Albert has a baseball blog: Baseball with R I sent a link internally to people I knew were into baseball, to which Andrew replied, “I agree that it’s cool that he doesn’t just talk, he has code.” (No kidding—the latest post as of writing this was ... [Read more...]

Microsoft R Open 3.2.3 now available

January 20, 2016 | David Smith

Microsoft R Open 3.2.3, the performance-enhanced distribution of R 3.2.3, is now available for download from mran.microsoft.com. This is the latest (and first of many to come!) update to Revolution R Open under its new name. In addition to the improvements in R 3.2.3, this update to MRO brings support for ... [Read more...]

Learn R From Scratch – Part 2

January 20, 2016 | Selva Prabhakaran

This is a continuation from the Part 1 of “Learn R From Scratch” series. In the previous post, the videos covered the very basics for R from scratch. We first installed R, got familiar with the environment, worked some basic math, different types of variables, got introduced to vectors and learnt ...
[Read more...]
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