3103 search results for "Map"

GeoCoding, R, and The Rolling Stones – Part 1

April 12, 2014
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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…

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Using memoise to cache R values

April 12, 2014
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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) ##...

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Shape File Selfies in ggplot2

April 11, 2014
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Shape File Selfies in ggplot2

In this post you will learn how to: Create your own quasi-shape file Plot your homemade quasi-shape file in ggplot2 Add an external svg/ps graphic to a plot Change a grid grob's color and alpha *Note get simple .md version … Continue reading →

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Visualize violent crime rates in US with choroplethr package

April 11, 2014
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Visualize violent crime rates in US with choroplethr package

Visualize violent crime rates in different US States with choroplethr package Visualize violent crime rates in different US States with choroplethr package I knew choroplethr package by the blog post Animated Choropleths in R a few days ago. As a another visualization tool in R language, I wana try this one. To install the...

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R 3.1.0 is released!

April 10, 2014
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R 3.1.0 is released!

R 3.1.0 (codename “Spring Dance“) was released today! You can get the source code from http://cran.r-project.org/src/base/R-3/R-3.1.0.tar.gz or wait for it to be mirrored at a CRAN site nearer to you. Binaries for various platforms will appear in due course. The full list of new features and bug fixes is provided below. Upgrading to R 3.1.0 You can

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Analyzing Microbial Growth with R

April 9, 2014
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Analyzing Microbial Growth with R

In experimental evolution research, few things are more important than growth. Both the rate of growth and the resulting yield can provide direct insights into a strain or species’ fitness. Whether one strain with a trait of interest can outgrow (and outcompete) another that possesses a variation of that trait …

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Animated Choropleths in R

April 9, 2014
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Animated Choropleths in R

Ari Lamstein has updated his choroplethr package with a new capability for creating animated data maps. I can't embed the animated version here, but click the image below to see an animation of US counties by average household income, from the richest to the poorest by percentile. (The code behind the animation is available on github.) The chloroplethr package...

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categoryCompare Paper Finally Out!

categoryCompare Paper Finally Out! I can finally say that the publication on my Bioconductor package categoryCompare is finally published in the Bioinformatics and Computational Biology section of Frontiers in Genetics. This has been a long time coming, and I wanted to give some background on the inspiration and development of the method and software. TL;DR The software package has been...

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Ontario First Nations Libraries Compared Using Ontario Open Data

April 7, 2014
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Ontario First Nations Libraries Compared Using Ontario Open Data

I recently downloaded a very cool dataset on Ontario libraries from the Ontario Open Data Catalogue.  The dataset contains 142 columns of information describing 386 libraries in Ontario, representing a fantastically massive data collection effort for such important cultural institutions (although … Continue reading →

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Use pipeline operators in R

April 7, 2014
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In data-driven statistical computing and data analysis, applying a chain of commands step by step is a common situation. However, it is neither straightforward nor flexible to write a group of deeply nested functions. It is because the function that comes later must be written first. Consider the following example in which we need to take the following steps: Generate...

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