1692 search results for "RStudio"

EARL 2015 in Boston: R Conference write-up by an attendee

November 10, 2015
By
EARL 2015 in Boston: R Conference write-up by an attendee

Written by Ben Young, an EARL Boston attendee. http://completelyabsorbed.com/ A week ago I flew to Boston, Massachusetts for EARL 2015. This was my first business trip, and as such I was very excited. The conference, speakers, and attendees did not … Continue reading →

Read more »

Building Interactive Maps with Leaflet

November 7, 2015
By
Building Interactive Maps with Leaflet

Leaflet is an JavaScript library for building interactive maps. RStudio released a package that allows us to build these maps in R! You can do some really cool things in Leaflet, and I will demonstrate a few of those below. Leaflet is compatible with Shiny apps and R Markdown documents. As mentioned on the RStudio

Read more »

Serialize and Deserialize a C++ Object in Rcpp

November 6, 2015
By
Serialize and Deserialize a C++ Object in Rcpp

This post shows how to serialize a C++ object into a R raw vector object—the base type used by the internal R serialization—and how to deserialize it. The following example shows a toy C++ class and the related serialize/deserialize functions. It shows how one can use the cereal header-only C++ library and Boost Iostreams in Rcpp. It relies...

Read more »

Reverse Geocode using Google API and XML package in R – PART 2

November 3, 2015
By

As promised in my previous post this post will dive deeper into understanding how to create links in R and further execute them to generate a list of XML output. In the third and final post we will use this list to filter the data and extract the infor...

Read more »

R Consortium funds first community project, accepting proposals for more

November 2, 2015
By

The R Consortium Infrastructure Steering Committee (chaired by Hadley Wickham) announced today the award of its first grant for an R community development project: $85,000 to Gábor Csárdi to implement the R-Hub project. As a board member of the R Consortium, I'm pleased to say this is a great first project for the R Consortium to get behind, as...

Read more »

An Ephemeral Update to daylight()

November 2, 2015
By
An Ephemeral Update to daylight()

This occurrence of the bi-annual corruption of the space-time continuum (i.e. changing to/from standard/daylight time) in the U.S. caused me to make a slight change to the code from an older post. The daylight() function now auto-discovers the date and location information (via telize) from the caller, which means all you have to do to

Read more »

littler 0.3.0 — on CRAN !!

October 29, 2015
By
littler 0.3.0 — on CRAN !!

A new major release of littler is now available. And for the first time in the nine years since 2006 when Jeff started the effort (which I joined not long after) we are now a CRAN package. This required a rewrite of the build system, foregoing the calls to aclocal, autoheader, automake...

Read more »

Shiny Developer Conference | Stanford University | January 2016

October 29, 2015
By
Shiny Developer Conference | Stanford University | January 2016

In the three years since we launched Shiny, our focus has been on helping people get started with Shiny. But there’s a huge difference between using Shiny and using it well, and we want to start getting serious about helping people use Shiny most effectively. It’s the difference between having apps that merely work, and

Read more »

roxygen2 5.0.0

October 29, 2015
By
roxygen2 5.0.0

roxygen2 5.0.0 is now available on CRAN. roxygen2 helps you document your packages by turning specially formatted inline comments in R’s standard Rd format. Learn more at http://r-pkgs.had.co.nz/man.html. In this release: Roxygen records its version in a single place: the RoxygenNote field in your DESCRIPTION. This should make it easier to see what’s changed when

Read more »

readr 0.2.0

October 28, 2015
By
readr 0.2.0

readr 0.2.0 is now available on CRAN. readr makes it easy to read many types of tabular data, including csv, tsv and fixed width. Compared to base equivalents like read.csv(), readr is much faster and gives more convenient output: it never converts strings to factors, can parse date/times, and it doesn’t munge the column names.

Read more »

Sponsors

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)