2489 search results for "map"

A list of R packages, by popularity

June 14, 2013
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A list of R packages, by popularity

R package developer (and R-bloggers editor) Tal Galili just published the answers to a question many R users have asked: which are the most popular R packages? He wrote some R code to rank the top 100 packages by number of downloads. Here's the top 10: The source data are the download logs from the RStudio CRAN mirror, whose...

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Top 100 R packages for 2013 (Jan-May)!

June 13, 2013
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Top 100 R packages for 2013 (Jan-May)!

(This article was first published on R-statistics blog » RR-statistics blog, and kindly contributed to R-bloggers) What are the top 100 (most downloaded) R packages in 2013? Thanks to the recent release of RStudio of their “0-cloud” CRAN log files (but without including downloads from the primary CRAN mirror or any of the 88 other CRAN mirrors), we can now answer this question...

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More code and images from “Displaying time series, spatial and space-time data with R”

More code and images from “Displaying time series, spatial and space-time data with R”

My book continues growing. I have recently completed the first version of the Spatio-Temporal visualization chapters. Moreover, a significant part …Continuar leyendo »

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The Reorderable Data Matrix and the Promise of Pattern Discovery

June 12, 2013
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The Reorderable Data Matrix and the Promise of Pattern Discovery

We typically start with the data matrix, a rectangular array of rows and columns.  If we type its name on the R command line, it will show itself.  But the data matrix is hard to read, even when there are not many rows or columns.  The heat map is a visual alternative.  All you need is the R function...

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Introducing GTrendsR

June 12, 2013
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Just another R blog has beed added to r-bloggers!In a paper, to be soon published in Conservation Biology and entitle Googling trends in conservation biology, we developed a package named GTrendsR that provides an interface for retrieving and displaying the information returned online...

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Answering “How many people use my R package?”

June 11, 2013
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Answering “How many people use my R package?”

The question “How many people use my R package?” is a natural question that (I imagine) every R package developer asks himself at some point or another. After many years in the dark, a silver lining has now emerged thanks …Read more »

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Visualizing densities of spatial processes

June 11, 2013
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Visualizing densities of spatial processes

We recently uploaded on http://hal.archives-ouvertes.fr/hal-00725090 a revised version of our work, with Ewen Gallic (a.k.a. @3wen) on Visualizing spatial processes using Ripley’s correction: an application to bodily-injury car accident location In this paper, we investigate (and extend) Ripley’s circumference method to correct bias of density estimation of edges (or frontiers) of regions. The idea of the method was theoretical...

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Biostatisticians… beware of fuzzy researchers!

June 11, 2013
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Biostatisticians… beware of fuzzy researchers!

In the last days I was thinking about about how researchers could collaborate efficiently with their experts in statistics. With the increasing complexity in science, interchanging information can be crucial to get the best results. But what happens when a … Sigue leyendo →

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In case you missed it: May 2013 Roundup

June 10, 2013
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In case you missed them, here are some articles from May of particular interest to R users: Billions of geotagged Tweets create a beautiful map of the world when plotted with the ggmap package. A review of Ryan Sheftel's talk at R/Finance, on how he uses R on the trading desk at Credit Suisse. Also, a quick take on...

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Where is the R Activity?

June 10, 2013
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Where is the R Activity?

R has become one of the world’s most widely used

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