Monthly Archives: January 2017

Upcoming Win-Vector LLC public speaking engagements

January 26, 2017
By

I am happy to announce a couple of exciting upcoming Win-Vector LLC public speaking engagements. BARUG Meetup Tuesday, Tuesday February 7, 2017 ~7:50pm, Intuit, Building 20, 2600 Marine Way, Mountain View, CA. Win-Vector LLC’s John Mount will be giving a “lightning talk” (15 minutes) on R calling conventions (standard versus non-standard) and showing how to … Continue...

Read more »

Upgrading to macOS Sierra (nee OSX) for R users

January 26, 2017
By
Upgrading to macOS Sierra (nee OSX) for R users

A good fraction of R users use Apple computers. Apple machines historically have sat at a sweet spot of convenience, power, and utility: Convenience: Apple machines are available at retail stores, come with purchasable support, and can run a lot of common commercial software. Power: R packages such as parallel and Rcpp work better on … Continue...

Read more »

Predicting the Willingen 2017 men’s ski jumping competition

January 26, 2017
By
Predicting the Willingen 2017 men’s ski jumping competition

In an earlier post of mine, I carried out an analysis on ski jumping data for Zakopane, Poland and attempted to predict which athletes would end up on the podium. I also created a classification tree and tested it on the 2017 competition data with good results. For this side project of mine, I hope… Continue reading...

Read more »

One View of the Impact of the New Immigration Ban (+ freeing PDF data with tabulizer)

January 26, 2017
By
One View of the Impact of the New Immigration Ban (+ freeing PDF data with tabulizer)

Dear Leader has made good on his campaign promise to “crack down” on immigration from “dangerous” countries. I wanted to both see one side of the impact of that decree — how many potential immigrants per year might this be impacting — and show toss up some code that shows how to free data from... Continue reading...

Read more »

Metro Systems Over Time: Part 2

January 26, 2017
By
Metro Systems Over Time: Part 2

Note, at the time of this writing using the packages ggplot2 and ggmap from CRAN will result in an error. To avoid the error be sure to install both packages from GitHub with the package devtools and restart R if the problem persists. devtools::install_github("dkahle/ggmap") devtools::install_github("hadley/ggplot2") Introduction In Part 1 of this series we collected geodata Related Post

Read more »

digest 0.6.12

January 26, 2017
By

A new release, now at version 0.6.12, of the digest package is now on CRAN and in Debian. The digest creates hash digests of arbitrary R objects (using the 'md5', 'sha-1', 'sha-256', 'crc32', 'xxhash' and 'murmurhash' algorithms) permitting easy comp...

Read more »

What is new in the intrval R package?

January 26, 2017
By

An update (v 0.1-1) of the intrval package was recently published on CRAN. The package simplifies interval related logical operations (read more about the motivation in this post). So what is new in this version? Some of the inconsistencies in the 1st CRAN release have been cleaned up, and I have been pushed hard (see GitHub issue to implement all...

Read more »

More water, a bit more about saints

January 25, 2017
By
More water, a bit more about saints

I was lucky enough to get some nice and interesting feedback on my last post. One comment was really useful and pretty embarrassing: I had written “see” instead of “sea” in the whole post… Thanks Steve Dempsey for the correction! I also got s...

Read more »

R Markdown for the Enterprise

January 25, 2017
By
R Markdown for the Enterprise

by Edgar Ruiz In the corporate world, spreadsheets and PowerPoint presentations still dominate as the tools used for analyzing and sharing information. So, it is not at all surprising that even when business analysts use R for the analytical heavy lifting, they frequently revert to using spreadsheets and slide decks to share their results. This

Read more »

Data Driven Cheatsheets

January 25, 2017
By
Data Driven Cheatsheets

Guest post by Jonathan Sidi Cheatsheets are currently built and used exclusivley as a teaching tool. We want to try and change this and produce a cheat sheet that gives a roadmap to build a known product, but also is built as a function so users can input data into it to make the cheatsheet … Continue...

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)