mapmate is under development and blog posts can become outdated quickly. Up to date mapmate documentation and tutorial examples can be found at the official mapmate Github pages. mapmate has now been updating from version 0.1.0 to 0.2.0 on Github. The key change is the incorporation of new functions, help docs and ... [Read more...]

The recent release of Hadley Whickham’s ggplot2 version 2.2.0 included several new features. Notably Subtitles and captions. A large rewrite of the facetting system. Improved theme options. Better stacking. What jumped out to me was the... [Read more...]

In the last post, I mapped gas stations and gas prices in Germany. After posting it, I started to look at the dataset from a different angle. The starting question was; “How can I model gas prices? What are the influencing factors?” One well know... [Read more...]

by Lixun Zhang (Data Scientist), Ye Xing (Senior Data Scientist) and Tao Wu (Principal Data Scientist Manager), all at Microsoft Editor's Note: To learn more about migrating from SAS to R, there will be a live webinar presented by Lixun and Ye tomorrow (Tuesday, November 15). Register to attend the webinar ... [Read more...]

[Read more...]

Next week I will be traveling to Washington to meet with someone at the US Census Bureau. While I’ve had several phone calls with people... The post Questions for the Census Bureau? appeared first on AriLamstein.com. [Read more...]

Seth Flaxman (Oxford), Dougal J. Sutherland (UCL), Yu-Xiang Wang (CMU), and Yee Whye Teh (Oxford), published on arXiv this morning an analysis of the US election, in what they called most appropriately a post-mortem. Using ecological inference already employed after Obama’s re-election. And producing graphs like the following one:... [Read more...]

The usual response from statisticians and data professionals to pie charts ranges from lofty disdain to outright snobbery. But sometimes I think they’re the right tool for communication with a particular audience. Like others I was struck by this i... [Read more...]

1 How this article is organized 2 Required R packages 3 Data preparation 4 R function for clustering analyses4.1 Example of k-means clustering 4.2 Example of hierarchical clustering 5 Combining hierarchical clustering and k-means5.1 Why? 5.2 How ? 5.3 R codes5.3.1 Compute hierarchical clustering and cut the tree into k-clusters: 5.3.2 Compute the centers of clusters defined by hierarchical clustering: 5.3.3 ... [Read more...]

[Read more...]

[Read more...]

Part 1: Extracting exif data from photos using R See the other parts in this series of blog posts. My camera comes with an inbuilt GPS allowing you to geo-reference photos you take. Here is a simple example for how we can use this feature to create a... [Read more...]

From geotagged photos to species distribution models My camera comes with an inbuilt GPS allowing you to geotag photos. I was on a family holiday on the beautiful Hornby Island (near Vancouver) and started wondering why the oysters growing on the rock... [Read more...]

First steps with time series and prediction in R - At the August meeting of the Inverness R User Group, one of the members gave an introductory presentation on times series in R. One of the data sets we looked at were the weekly CO2 levels f... [Read more...]

I have come several times upon cases of scientists [I mean, real, recognised, publishing, senior scientists!] from other fields blindly copying MCMC code from a paper or website, and expecting the program to operate on their own problem… One illustration is from last week, when I read a X Validated ... [Read more...]

R for Beginners:  How to Install the Latest Version of R Statistics on Your Raspberry Pi A tutorial by D. M. Wiig One of the nice characteristics of open source software such as R is the rapid development of new releases and updates.  While the base core remains stable for ... [Read more...]

A new minor release 0.1.4 of pkgKitten just hit on CRAN this morning. One small change is that the package manual page it creates now makes use of the (still new-ish and under-documented and under-used) Rd macros described at the end of Section 2.13... [Read more...]

In this Exercise, we will dive quickly through some basic sampling methods. Follow along this series to use these methods later for our decision trees modelling exercise. We will sample using the package caTools and caret. This is a beginner level exercise. Please refer to the help section for set.... [Read more...]

[Read more...]

Contributed by Wann-Jiun Ma. He is currently in the NYC Data Science Academy 12 week full time Data Science Bootcamp program taking place between September to […] The post College Football EDA with R appeared first on NYC Data Science Academy Blog. [Read more...]