3750 search results for "gis"

Forecasting the number of visitors on your website using R. Part II

October 29, 2013
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Forecasting the number of visitors on your website using R. Part II

This blog is the second post of a series of three blogs. Previous Blog Implementing the time-series exponential smoothing in R: I have used the HoltWinters (also a function in the forecasting package of R ) model to implement the exponential smoothing on the visitors data. This model will take care of the Seasonality, Trend,

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Introducing Revolution R Enterprise 7

October 28, 2013
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We're very excited to formally announce that Revolution R Enterprise 7 is here! This release includes the latest release of Open Source R (R 3.0.2). It brings R and the massively-parallel R functions from Revolution Analytics to Cloudera and Hortonworks in-Hadoop, and in-database on Teradata. It also brings a new drag-and-drop user interface via integration with Alteryx, and a...

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One step ahead in Bioinformatics using Package Repositories

October 28, 2013
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One step ahead in Bioinformatics using Package Repositories

About a year ago I published a post about in-house tools in research and how using this type of software may end up undermining the quality of a manuscript and the reproducibility of its results.  While I can certainly relate to someone reluctant to release nasty code (i.e. not commented, not well-tested, not documented), I still think we...

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ipython notebook for R: Quickstart for Ubuntu

October 27, 2013
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If you’re like me, you love ipython notebook but often write R.  RStudio’s integrated RMarkdown is nice, but for some contexts like quick demos or basic training, a browser-based interface is unbeatable.  What if we could get the best of… Read more ›

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Alternative to Grouped Bar Charts in R

October 27, 2013
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Alternative to Grouped Bar Charts in R

The #spiffy @dseverski gave me this posit the other day: Hey, @hrbrmstr, doughnut chart aside, how would you approach the first graph at http://t.co/zjHoHRVOeo? Bump chart? Trend line? Leave as is?— David F. Severski (@dseverski) October 25, 2013 and, I...

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Montreal R User Group – Dr. Ramnath Vaidyanathan on his rCharts package

October 27, 2013
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Montreal R User Group –  Dr. Ramnath Vaidyanathan on his rCharts package

Monday, October 28, 2013. 6:00pm at Notman House 51 Sherbrooke W., Montreal, QC. We are very pleased to welcome back Dr. Ramnath Vaidyanathan for a talk on interactive documents as it relates to his excellent rCharts package. Bringing a laptop to follow along is highly encouraged. I would recommend installing rCharts prior to the workshop. library(devtools) pkgs <- c(‘rCharts’, ‘slidify’, ‘slidifyLibraries’) install_github(pkgs, ‘ramnathv’, ref

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Table as an Image in R

October 24, 2013
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Table as an Image in R

Usually, it's best to keep tables as text, but if you're making a lot of graphics, it can be helpful to be able to create images of tables.PNG tableCreating the TableAfter loading the data, let's first use this trick to put line breaks between the leve...

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Fetch Twitter data using R

October 24, 2013
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Fetch Twitter data using R

This short post will explain how you can fetch twitter data using  twitteR & StreamR packages available in R. In order to connect to twitter API, we need to undergo an authentication process known as OAuth explained in my previous post.Twitter data can be fetched from twitter in two ways: a) Rest API b) Streaming Api.In...

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Interactive maps with polygons using R, Geojson, and Github

October 22, 2013
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Previously on this blog we have discussed making geojson maps and uploading to Github for interactive visualization with USGS BISON data, and with GBIF data, and on my own personal blog. This is done using a file format called geojson, a file format based on JSON (JavaScript Object Notation) in which you can specify geographic...

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Using R to parse time (and taxon names) with GBIF’s API

October 21, 2013
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Using R to parse time (and taxon names) with GBIF’s API

GBIF has recently made a bunch of handy tools available via their revamped API. These tools include a species name parser, which seems very useful for cleaning long lists of taxon names. Here’s a simple R function that takes a … Continue reading →

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