568 search results for "shiny"

Exploring San Francisco with choroplethrZip

April 7, 2015
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Exploring San Francisco with choroplethrZip

by Ari Lamstein Introduction Today I will walk through an analysis of San Francisco Zip Code Demographics using my new R package choroplethrZip. This package creates choropleth maps of US Zip Codes and connects to the US Census Bureau. A choropleth is a map that shows boundaries of regions (such as zip codes) and colors those regions according to...

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Design patterns for action buttons

April 7, 2015
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Design patterns for action buttons

Action buttons can be tricky to use in Shiny because they work differently than other widgets. Widgets like sliders and select boxes maintain a value that is easy to use in your code. But the value of an action button is arbitrary. What should you do with it? Did you know that you should almost

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SWMPr 2.0.0 now on CRAN

April 5, 2015
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SWMPr 2.0.0 now on CRAN

I’m pleased to announce that my second R package, SWMPr, has been posted on CRAN. I developed this package to work with water quality time series data from the System Wide Monitoring Program (SWMP) of the National Estuarine Research Reserve System (NERRS). SWMP was established in 1995 to provide continuous environmental data at over 300

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More Airline Crashes via the Hadleyverse

March 31, 2015
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I saw a fly-by #rstats mention of more airplane accident data on — of all places — LinkedIn (email) today which took me to a GitHub repo by @philjette. It seems there’s a web site (run by what seems to be a single human) that tracks plane crashes. Here’s a tweet from @philjette announcing it:

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Improved memory usage and RJSONIO compatibility in jsonlite 0.9.15

March 30, 2015
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Improved memory usage and RJSONIO compatibility in jsonlite 0.9.15

The jsonlite package implements a robust, high performance JSON parser and generator for R, optimized for statistical data and the web. Last week version 0.9.15 appeared on CRAN which improves memory usage and compatibility with other packages. Migrating to jsonlite The upcoming release of shiny will switch from RJSONIO to jsonlite. To...

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Data Visualization cheatsheet, plus Spanish translations

March 30, 2015
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Data Visualization cheatsheet, plus Spanish translations

We’ve added a new cheatsheet to our collection. Data Visualization with ggplot2 describes how to build a plot with ggplot2 and the grammar of graphics. You will find helpful reminders of how to use: geoms stats scales coordinate systems facets position adjustments legends, and themes The cheatsheet also documents tips on zooming. Download the cheatsheet

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R Stats + Digital Analytics: 8 Blogs you should Follow

March 29, 2015
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R Stats + Digital Analytics: 8 Blogs you should Follow

Are you interested in using R for your digital analytics projects? Do you need to perform prediction modelling and visualizations on your digital data and Excel can´t just do the job as you wanted?Or, you simply have no idea how R could help you in your digital analytics problems and you would like to see some real working examples...

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Parallel R with BatchJobs

March 28, 2015
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Parallel R with BatchJobs

Parallelizing R with BatchJobs – An example using k-means Gord Sissons, Feng Li Many simulations in R are long running. Analysis of statistical algorithms can generate workloads that run for hours if not days tying up a single computer. Given the amount of time R programmers can spend waiting for results, getting acquainted parallelism makes

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A Deterministic Compartmental Model for Erythropoeisis with R

March 28, 2015
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Recently I have finished working on and developing a deterministic, compartmental model of erythropoeisis (How Red Blood Cells are produced and destroyed) in R using deSolve package. I have also made a Shiny application for the simulation. The model ca...

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Interactive Maps for John Snow’s Cholera Data

March 28, 2015
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Interactive Maps for John Snow’s Cholera Data

This week, in Istanbul, for the second training on data science, we’ve been discussing classification and regression models, but also visualisation. Including maps. And we did have a brief introduction to the  leaflet package, devtools::install_github("rstudio/leaflet") require(leaflet) To see what can be done with that package, we will use one more time the John Snow’s cholera dataset, discussed in previous...

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