List

New dplyr version for data wrangling available from R Studio (plus cheatsheet!)

 January 24, 2015 |  Moritz S. Schmid |  Reblog

R Studio and Hadley Wickham recently announced the new version of deployer which is now available. Dplyr 0.4.0 features over 80 minor improvements and bug fixes,…

Also make sure to download the cheatsheet at

http://www.rstudio.com/wp-content/uploads/2015/01/data-wrangling-cheatsheet.pdf

Source: dplyr 0.4.0 | RStudio Blog

Leave a Reply

Your email address will not be published. Required fields are marked *

three + 5 =

This site uses Akismet to reduce spam. Learn how your comment data is processed.

  Posts

1 2 3
September 18th, 2018

Getting started with #deeplearning in R | #RStudio Blog

This is a reblog from the R Studio Blog by Sigrid Keydana, 2018-09-12   There are good reasons to get into deep […]
November 23rd, 2016

#ggforce for accelerating #ggplot2 in #dataviz

  This is a reblog from: Data Imaginist – Announcing ggforce: Accelerating ggplot2 by Thomas Lin Pedersen      November 22, 2016 […]
November 20th, 2016

Reblogged from: Dr. Paige Brown Jarreau, http://www.fromthelabbench.com Taking Facial Recognition to the Ocean – Automatic Identification of Tiny Arctic Animals   […]
November 16th, 2016

ggplot2 2.2.0 #dataviz #R #datascience @rstudio

Yes! The new ggplot is out and my favourite is definitely the updated faceting! This is a reblog from RStudio Blog by […]
November 16th, 2016

ggedit add-on for #ggplot2 #dataviz #R #datascience

This is a reblog from: R-statistics blog: Guest post by Jonathan Sidi, Metrum Research Group ggplot2 has become the standard of […]
August 27th, 2016

#R Packages for #Data Access

This is a reblog from R Packages for Data Access by Joseph Rickert Data Science is all about getting access to […]
August 16th, 2016

Getting Your Colleagues Hooked on #R

You love R and you want your colleagues to love R too. In our latest post we will walk you […]
August 14th, 2016

Convolutional #neuralnetwork in #R (MXNet package) #MachineLearning #DataScience

The Beginner Programmer: Image recognition tutorial in R using deep convolutional neural networks (MXNet package) This is a reblog of […]
June 3rd, 2016

Mad Hatter Explains Support Vector Machines #scicomm #machinelearning #SVM #datascience

This is a reblog from: Joel Caldwell. Thanks for this great story!   “Hatter?” asked Alice, “Why are support vector […]
May 11th, 2016

What’s the difference between machine learning, statistics, and data mining?

This is a reblog from SHARP SIGHT LABS. Thanks for that great article! However, I would like to point out […]