1802 search results for "tutorial"

Aggregating spatial points by clusters

March 21, 2014
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Aggregating spatial points by clusters

With ubiquitous collection devices (e.g. smartphones), having too much data may become an increasingly common problem for spatial analysts, even with increasingly powerful computers. This is ironic, because a few short decades ago, too little data was a primary constraint. This tutorial builds on the 'Attribute joins' section of the Creating maps in R tutorial to demonstrate how clusters can be...

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Aggregating spatial points by clusters

March 21, 2014
By
Aggregating spatial points by clusters

With ubiquitous collection devices (e.g. smartphones), having too much data may become an increasingly common problem for spatial analysts, even with increasingly powerful computers. This is ironic, because a few short decades ago, too little data was a primary constraint. This tutorial builds on the 'Attribute joins' section of the Creating maps in R tutorial to demonstrate how clusters can be...

Read more »

Using R: barplot with ggplot2

March 19, 2014
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Using R: barplot with ggplot2

Ah, the barplot. Loved by some, hated by some, the first graph you’re likely to make in your favourite office spreadsheet software, but a rather tricky one to pull off in R. Or, that depends. If you just need a barplot that displays the value of each data point as a bar — which is

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Build Web applications using Shiny R

March 19, 2014
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Build Web applications using Shiny R

Ever since I’ve started working on R , I always wondered how I can presentthe results of my statistical models as web applications. After doing someresearch over the internet I’ve come across – ShinyR – a new packagefrom RStudio which can be used to develop interactive web applications with R.Before going into how to build web apps...

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Learn to Manage Data at useR! 2014 or Online April 25

March 18, 2014
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Learn to Manage Data at useR! 2014 or Online April 25

Before you can analyze data, it must be in the right form. Join me on April 25th for a 4-hour webinar that shows how to perform the most commonly used data management tasks in R. We will work through hands-on examples of … Continue reading →

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Aggregation of point data to polygons MKII – US states

March 14, 2014
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Aggregation of point data to polygons MKII – US states

After a colleague of mine requested an illustration of the aggregation technique that was part of an introduction to spatial data in R, I decided to revisit aggregation. The first article I posted here on the subject used data from London; this one is slightly different, using Twitter data aggregated to the state level in the USA. All example code...

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Aggregation of point data to polygons MKII – US states

March 14, 2014
By
Aggregation of point data to polygons MKII – US states

After a colleague of mine requested an illustration of the aggregation technique that was part of an introduction to spatial data in R, I decided to revisit aggregation. The first article I posted here on the subject used data from London; this one is slightly different, using Twitter data aggregated to the state level in the USA. All example code...

Read more »

R Resources

March 13, 2014
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I am listing some useful R resources. I start with the following post on (free) R Books from R-bloggers.com. An R "Meta" Book by Joseph Rickerthttp://www.r-bloggers.com/an-r-meta-book/ This page lists some e-books or e-materials for various topics in statistics ranging from basis concepts of statistics to advanced methods such as survival analysis and time series analysis. On Experimental Design An R...

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Better handling of JSON data in R?

March 13, 2014
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What is the best way to read data in JSON format into R? Though really common for almost all modern online applications, JSON is not every R user's best friend. After seeing the slides for my Web Scraping course, in which I somewhat arbitrarily veered between using the packages rjson and RJSONIO, the creator of a...

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In case you missed it: February 2014 roundup

March 12, 2014
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In case you missed them, here are some articles from February of particular interest to R users: A statistical analysis of various forecasting methods (using R) leads to correct predictions for 21 of 24 Oscars awards. There are now 123 R User Groups worldwide, and applications for Revolution Analytics sponsorship grants are open until March 31. Revolution Analytics was...

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