1118 search results for "Maps"

Introducing Statwing

April 27, 2014
By
Introducing Statwing

Recently, Greg Laughlin, the founder of a new statistical software called Statwing, let me try his product for free. I happen to like free things very much (the college student is strong within me) so I gave it a try. I mostly like how easy it is to use: For instance, to relate two attributes

Read more »

Project Tycho, Correlation between states

April 27, 2014
By
Project Tycho, Correlation between states

In this fourth post on Measles data I want to have a look at correlation between states. As described before, the data is from Project Tycho, which contains data from all weekly notifiable disease reports for the United States dating back to 1888...

Read more »

R activity around the world

April 22, 2014
By
R activity around the world

This project was inspired by "Where is the R Activity?" and our follow-up post on the number of useR! 2013 attendees. But instead of static maps, now we gathered bunch of R-related data from a variety of different sources to create some interactive car...

Read more »

Overlaying species occurrence data with climate data

April 22, 2014
By
Overlaying species occurrence data with climate data

One of the goals of the rOpenSci is to facilitate interoperability between different data sources around web with our tools. We can achieve this by providing functionality within our packages that converts data coming down via web api's in one format (often a provider specific schema) into a standard format. The new version of rWBclimate that...

Read more »

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 »

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 »

GeoCoding, R, and The Rolling Stones – Part 1

April 12, 2014
By
GeoCoding, R, and The Rolling Stones – Part 1

Originally posted on Rolling Your Rs:In this article I discuss a general approach for Geocoding a location from within R, processing XML reports, and using R packages to create interactive maps. There are various ways to accomplish this, though using Google’s GeoCoding service is a good place to start. We’ll also talk a bit…

Read more »

GeoCoding, R, and The Rolling Stones – Part 1

April 12, 2014
By
GeoCoding, R, and The Rolling Stones – Part 1

Originally posted on Rolling Your Rs:In this article I discuss a general approach for Geocoding a location from within R, processing XML reports, and using R packages to create interactive maps. There are various ways to accomplish this, though using Google’s GeoCoding service is a good place to start. We’ll also talk a bit…

Read more »

Using memoise to cache R values

April 12, 2014
By

Introduction The memoise package can be very handy for caching the results of slow calculations. In interactive work, the slowest calculations can be reading data, so that is demonstrated here. The microbenchmark package shows timing results. Methods and results Setup First, load the package being tested, and also a benchmarking package. 1 2 library(memoise) library(microbenchmark) Test conventional function The demonstration will be for reading a CTD file. 1 library(oce) ##...

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)