October 2017

Visualizing Airbnb listings.

October 24, 2017 | Senthil Thyagarajan

In this day and age of so many sharing services like Uber and Lyft , pricey hotels are being replaced by Airbnb. Students, working people and travelers wouldn’t always want to pay a high price for staying a couple of nights at the Marriott and would rather stay at a ... [Read more...]

September 2017 New Package Picks

October 24, 2017 | R Views

There were so many interesting ideas among the 222 new packages that made it to CRAN in September that I found it exceptionally difficult to decide on the “Top 40” packages. In the end, I only managed to limit my selection to 40 by avoiding all packages that I would normally classify under “...
[Read more...]

Demo Week: Tidy Forecasting with sweep

October 24, 2017 | business-science.io - Articles

We’re into the third day of Business Science Demo Week. Hopefully by now you’re getting a taste of some interesting and useful packages. For those that may have missed it, every day this week we are demo-ing an R package: tidyquant (Monday), timetk (Tuesday), sweep (Wednesday), tibbletime (Thursday) ... [Read more...]

Extending slackr

October 24, 2017 | Jonathan Sidi

The slackr package, by Bob Rudis, contains functions that make it possible to interact with the Slack messaging platform. The great part of Slack is that it has mobile devices application interface. We take advantage of this by extending slackr’s interaction with with the server: Write to a channel (... [Read more...]

Create editable Microsoft Office charts from R

October 24, 2017 | David Smith

R has a rich and infinitely flexible graphics system, and you can easily embed R graphics into Microsoft Office documents like PowerPoint or Word. The one thing I dread hearing after delivering such a document, though, is "how can I tweak that graphic?". I could change the colors or fonts ... [Read more...]

Some Announcements

October 24, 2017 | John Mount

Some Announcements: Dr. Nina Zumel will be presenting “Myths of Data Science: Things you Should and Should Not Believe”, Sunday, October 29, 2017 10:00 AM to 12:30 PM at the She Talks Data Meetup (Bay Area). ODSC West 2017 is soon. It is our favorite conference and we will be giving both a workshop and … ... [Read more...]

Meeting Titans of Open Data

October 24, 2017 | Ari Lamstein

The recent Association of Public Data Users (APDU) Conference gave me the opportunity to meet some people who have made tremendous contributions to the world... The post Meeting Titans of Open Data appeared first on AriLamstein.com.
[Read more...]

Meeting Titans of Open Data

October 24, 2017 | Ari Lamstein

The recent Association of Public Data Users (APDU) Conference gave me the opportunity to meet some people who have made tremendous contributions to the world... The post Meeting Titans of Open Data appeared first on AriLamstein.com.
[Read more...]

CRAN search based on natural language processing

October 24, 2017 | Super User

CRAN contains up to date (October 2017) more than 11500 R packages. If you want to scroll through all of these, you probably need to spend a few days, assuming you need 5 seconds per package and there are 8 hours in a day. Since R version 3.4, we can also get a dataset will ... [Read more...]

Machine Learning Explained: Kmeans

October 24, 2017 | Antoine Guillot

Kmeans is one of the most popular and simple algorithm to discover underlying structures in your data. The goal of kmeans is simple, split your data in k different groups represented by their mean. The mean of each group is assumed to be a good summary of each observation of ... [Read more...]

apputils 0.5.0 released

October 23, 2017 | Matt's R Blog

Version 0.5.0 of the apputils R package has been released on GitHub. Complete documentation is available at the apputils website. The key updates are: Added exApp for running Shiny app package examples. Ported custom icons demo app to apputils. Included all current custom icons in example app, adding the newer linear ...
[Read more...]

jsTree htmlwidget

October 23, 2017 | Jonathan Sidi

jsTree is a R package that is a standalone htmlwidget for the jsTree JavaScript library. It can be run from the R console directly into the Rstudio Viewer, be used in a Shiny application or be part of an Rmarkdown html output. Installation 
#CRAN
install.packages('jsTree')

#Github
devtools::install_github('metrumresearchgroup/jsTree')
The motivation for the package came ... [Read more...]

Loading R Packages: library() or require()?

October 23, 2017 | geraldbelton

When I was an R newbie, I was taught to load packages by using the command library(package). In my Linear Models class, the instructor likes to use require(package). This made me wonder, are the commands interchangeable? What’s the difference, and […] [Read more...]

Statistical Machine Learning with Microsoft ML

October 23, 2017 | David Smith

MicrosoftML is an R package for machine learning that works in tandem with the RevoScaleR package. (In order to use the MicrosoftML and RevoScaleR libraries, you need an installation of Microsoft Machine Learning Server or Microsoft R Client.) A great way to see what MicrosoftML can do is to take ... [Read more...]
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