3228 search results for "MAP"

Notes from the Tokyo R User Group meeting, 17 April 2014

April 21, 2014
By
Notes from the Tokyo R User Group meeting, 17 April 2014

Last Thursday I had the pleasure to attend the Tokyo R user group meeting. And what a fun meeting it was! Over 40 R users had come together in central Tokyo. Yohei Sato, who organises the meetings, allowed me to talk a little about the recent developme...

Read more »

Mythbusting – Dr. Copper

April 21, 2014
By
Mythbusting – Dr. Copper

Image by Justin Reznick   “An economist is an expert who will know tomorrow why the things he predicted yesterday didn't happen today.” Laurence J. Peter (author and creator of the Peter Principle) If you were paying attention to financial sites last month, you probably noticed a number of articles on “Dr. Copper”. Here is

Read more »

RStata: Funny or just annoying?

April 21, 2014
By
RStata: Funny or just annoying?

Okay okay.  The joke is up.  Besides likely necessitating an emergency call to from the Stata Management Team to the Stata Legal Team, my post on April 1st of 2014 entitled "RStata: Stata Fully Mapped into R", was intended as a practical joke...

Read more »

Fracking and House Prices on the Marcellus Shale

April 21, 2014
By
Fracking and House Prices on the Marcellus Shale

Starting last summer I worked on a short project that set out to estimate the potential costs of externalities due to unconventional shale gas production in the Marcellus shale on local house prices using a dataset of roughly 150,000 recently sold houses in Ohio, West Virginia and Pennsylvania. I stopped working on a project that

Read more »

The Circus Tent Problem with R’s Quadprog

April 20, 2014
By
The Circus Tent Problem with R’s Quadprog

The MathWorks has an interesting demo on how the shape of a circus tent can be modeled as the solution of a quadratic program in MATLAB. In this post, we'll show how to solve this same problem in R using the quadprog package and also provide the technical details not covered in the Mathwork's example. In...

Read more »

The Current Golden Era of the NBA

April 18, 2014
By
The Current Golden Era of the NBA

We are in the midst of what many are calling a "golden age" of the NBA.  Being in the midst of a time where attention to the sport has seemingly increased is difficult to quantify.  For most people who have had an interest in the NBA over a l...

Read more »

Reot: Empirical Orthogonal Teleconnections in R

April 18, 2014
By
Reot: Empirical Orthogonal Teleconnections in R

We are happy to introduce Reot, an R package designed for empirical orthogonal teleconnection (EOT) analysis of gridded geo-scientific space-time data based on the method by van den Dool et al. (2000). EOT denotes a regression-based approach to decompose spatio-temporal … Continue reading →

Read more »

Time Series Analysis using R – forecast package

April 17, 2014
By
Time Series Analysis using R – forecast package

In today’s blog post, we shall look into time series analysis using R package – forecast. Objective of the post will be explaining the different methods available in forecast package which can be applied while dealing with time series analysis/forecasting. What is Time Series?A time series is a collection of observations of...

Read more »

Make your ggplots shareable, collaborative, and with D3

April 17, 2014
By
Make your ggplots shareable, collaborative, and with D3

Editor's note: This is a guest post from Matt Sundquist form the Plot.ly team. You can access the source code for this post at https://gist.github.com/sckott/10991885 Ggplotly and Plotly's R API let you make ggplot2 plots, add py$ggplotly(), and make your plots interactive, online, and drawn with D3. Let's make some. 1. Getting Started and Examples Here is Fisher's iris...

Read more »

Using R — Working with Geospatial Data (and ggplot2)

April 16, 2014
By
Using R — Working with Geospatial Data (and ggplot2)

This is a follow-up blog-post to an earlier introductory post by Steven Brey: Using R: Working with Geospatial Data. In this post, we’ll learn how to plot geospatial data in ggplot2. Why might we want to do this? Well, it’s really …   read more ...

Read more »

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)