Hey!
Next Wednesday (April 15th 2015 – 11:00 AM EST) there will be a free Webinar from the RStudio-Team on “Dynamic Dashboards with Shiny”. This webinar will be held by Winston Chang. He is a developer for the ggplot2 and devtools packages and also the author of the famous R Graphics
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in this article I will show you how to download, manage and visualize twitter data. I will supply you with all the code necessary to connect to the twitter API, download and plot user defined keywords in space.
Let’s start! So how do we get the Twitter data? Twitter allows
At first I want to show how you can make simple maps with R. Furthermore I want to demonstrate one important function from the package “gdalUtils”, which contains wrappers for the Geospatial Data Abstraction Library (GDAL) Utilities. I will rasterize a vector with the function gdal_rasterize, because it is quite fast for
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Today I will show how powerful the R {raster} package is on another example. The raster package is not only a great tool for raster processing and calculation but also very useful for data acquisition. With the function getData() you can download the following data directly into R and process
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welcome to part 2 of our short introduction to extreme value analysis using the extRemes package in R.
As some of you might know, there are two common approaches for practical extreme value analysis. Today, we will focus on the first of these two approaches, called the block maxima method.
This
Hey there!
Today I’d like to start a series of some posts concerning extreme value analysis using R.
Basically, there are several very useful packages in R which provide methods and functions for extreme value analysis. Information on different software (including all relevant R packages) for extreme value analysis can of course
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In my last post I’ve been talking about the webinar on Creating JavaScript data visualizations in R by the R Studio Team. Today I would like you to show what was covered during this webinar and what I’ve learned. If you missed the session you can watch
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today I decided to do a little more advanced Leaflet turorial:
We will be using open source data in csv-format to generate a geojson file with R and finally create a web map using Leaflet.
If you dont want to use R, simply skip the first part and jump right into