1058 search results for "rstudio"

Recordings of RStudio Webinar Series on Essential Tools for Data Science with R

December 9, 2014
By
Recordings of RStudio Webinar Series on Essential Tools for Data Science with R

by Yanchang Zhao, RDataMining.com RStudio recently ran a series of live webinars on Essential Tools for Data Science with R, but it is inconvenient for people from other time zones to attend. Fortunately, the recordings have been made available online, … Continue reading →

Read more »

Learn ggvis with RStudio and DataCamp

December 5, 2014
By
Learn ggvis with RStudio and DataCamp

We’ve teamed up with DataCamp to make a self-paced online course that teaches ggvis, the newest data visualization package by Hadley Wickham and Winston Chang. The ggvis course pairs challenging exercises, interactive feedback, and “to the point” videos to let you learn ggvis in a guided way. In the course, you will learn how to

Read more »

ggvis tutorial: become a data visualization expert with RStudio

December 4, 2014
By
ggvis tutorial: become a data visualization expert with RStudio

The latest interactive course in the RStudio track is now available on DataCamp: ggvis tutorial. The first part of the tutorial is available for  free, so everyone can now learn interactively how to start creating stunning ggvis data visualizations in R. All courses in the RStudio track are self-paced, and combine challenging interactive exercises with to the point videos. Garrett The post

Read more »

RStudio in the cloud for dummies, 2014/2015 edition

December 2, 2014
By
RStudio in the cloud for dummies, 2014/2015 edition

In 2012, we presented a post showing how to run RStudio in the cloud on an Amazon server. There were 7 steps, including one with 7 sub-steps, one of which had 6 sub-sub-steps. It was still pretty easy, for what it was-- an effectively free computer i...

Read more »

RStudio shortcuts (Windows) – for cleaner and faster coding

November 25, 2014
By
RStudio shortcuts (Windows) – for cleaner and faster coding

RStudio has a number of keyboard shortcuts that make for cleaner and faster coding. I put all the Windows shortcuts that I use onto a single page so that I can pin them next to my computer. (PDF) Some favourites of mine are: Using code sections/chunks - Use Ctrl+Shift+R to insert a code section and a popup

Read more »

Secret to Making Things Appear in RStudio Viewer

November 24, 2014
By

I am by no means an authoritative source on this, but I think I found out the secret behind htmltools html_print that chooses the RStudio Viewer browser rather than your default browser like utils::browseURL. Here is a quick code snippet that hopefully...

Read more »

LA R meetup – January 21: RStudio’s Shiny with Joe Cheng

November 20, 2014
By

At this meetup we’re fortunate to have RStudio’s lead developer Joe Cheng flying in from...

Read more »

New dplyr course by RStudio and DataCamp! Learn data manipulation interactively

October 31, 2014
By
New dplyr course by RStudio and DataCamp! Learn data manipulation interactively

DataCamp just launched its latest interactive course: dplyr. This new course was developed in close collaboration with Garrett Grolemund, RStudio’s master instructor. By taking this course, you will be challenged one step at a time to master the essentials about transforming data sets fast and intuitively with the dplyr package. Start the course here. The

Read more »

R and RStudio incompatibility with Yosemite Mac OS X 10.10

October 23, 2014
By

There is currently a bug (or feature?) in the current version of Yosemite (OS X 10.10) that messes with the passing of environmental variables to programs launched from Finder (as pointed out by Adam Maxwell). Notably, this means that PATH variables are not passed properly to R.app or RStudio.app. You may end up seeing errors

Read more »

Learn dplyr with RStudio and Datacamp

October 20, 2014
By
Learn dplyr with RStudio and Datacamp

RStudio has teamed up with Datacamp to create a new, interactive way to learn dplyr. Dplyr is an R package that provides a fast, intuitive way to transform data sets with R. It introduces five functions, optimized in C++, that can handle ~90% of data manipulation tasks. These functions are lightning fast, which lets you

Read more »