February 2017

Implementing the Gradient Descent Algorithm in R

February 12, 2017 | S. Richter-Walsh

A Brief Introduction Linear regression is a classic supervised statistical technique for predictive modelling which is based on the linear hypothesis: y = mx + c where y is the response or outcome variable, m is the gradient of the linear trend-line, x is the predictor variable and c is the intercept. ...
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Using R: tibbles and the t.test function

February 12, 2017 | mrtnj

A participant in the R course I’m teaching showed me a case where a tbl_df (the new flavour of data frame provided by the tibble package; standard in new RStudio versions) interacts badly with the t.test function. I had not seen this happen before. The reason is ... [Read more...]

ROPE and Equivalence Testing: Practically Equivalent?

February 12, 2017 | Daniel Lakens

In a previous post, I compared equivalence tests to Bayes factors, and pointed out several benefits of equivalence tests. But a much more logical comparison, and one I did not give enough attention to so far, is the ROPE procedure using Bayesian estimation. I’d like to thank John Kruschke ...
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Letting Travis keep a secret

February 12, 2017 | Thinking inside the box

More and more packages, be it for R or another language, are now interfacing different application programming interfaces (API) which are exposed to the web. And many of these may require an API key, or token, or account and password. Which traditionally poses a problem in automated tests such as ... [Read more...]

Who were the notable dead of Wikipedia?

February 11, 2017 | Maëlle Salmon

As described in my last post, I extracted all notable deaths from Wikipedia over the 2004-2016 period. In this post I want to explore this study population. Who were the notable dead? How old were notable dead? Let me assume here most entries of th... [Read more...]

Extracting notable deaths from Wikipedia

February 11, 2017 | Maëlle Salmon

I like Wikipedia. My husband likes it even more, he included it in his PhD thesis acknowledgements! I appreciate the efforts done for sharing knowledge, and also the apparently random stuff you can find on the website. In particular, I’ve been intrig... [Read more...]

Who were the notable dead of Wikipedia?

February 11, 2017 | Maëlle Salmon

As described in my last post, I extracted all notable deaths from Wikipedia over the 2004-2016 period. In this post I want to explore this study population. Who were the notable dead? How old were notable dead? Let me assume here most entries of th... [Read more...]

Extracting notable deaths from Wikipedia

February 11, 2017 | Maëlle Salmon

I like Wikipedia. My husband likes it even more, he included it in his PhD thesis acknowledgements! I appreciate the efforts done for sharing knowledge, and also the apparently random stuff you can find on the website. In particular, I’ve been intrig... [Read more...]

Tracking Exercise Trends with NHANES

February 11, 2017 | Thomas Kassel

Contributed by Thomas Kassel. He is currently enrolled in the NYC Data Science Academy 17-week remote bootcamp program taking place from January-April 2017. This post is based on his second class project, R […] The post Tracking Exercise Trends with NHANES appeared first on NYC Data Science Academy Blog. [Read more...]

Announcing the wrapr packge for R

February 11, 2017 | John Mount

Recently Dirk Eddelbuettel pointed out that our R function debugging wrappers would be more convenient if they were available in a low-dependency micro package dedicated to little else. Dirk is a very smart person, and like most R users we are deeply in his debt; so we (Nina Zumel and ...
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Data Hacking with RDSTK 2

February 11, 2017 | Hasan Imtiaz

RDSTK is a very versatile package. It includes functions to help you convert IP address to geo locations and derive statistics from them. It also allows you to input a body of text and convert it into sentiments. This is a continuation from the last exercise RDSTK 1 This package provides ...
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ggalt 0.4.0 now on CRAN

February 11, 2017 | hrbrmstr

I’m uncontainably excited to report that the ggplot2 extension package ggalt is now on CRAN. The absolute best part of this package is the R community members who contributed suggestions and new geoms, stats, annotations and integration features. This release would not be possible without the PRs from: Ben ...
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caffeR: an R wrapper for ‘caffe’

February 11, 2017 | blogisr

Authors: Christof Naumzik & Stefan Feuerriegel Caffe (http://caffe.berkeleyvision.org) provides a powerful framework for deep learning. It is developed and maintained by the Berkeley Vision and Learning Center (BVLC) and has received a great deal of traction lately. Caffe enables users to define and train custom-made neural networks without ... [Read more...]

Update on R Consortium Projects

February 10, 2017 | David Smith

On January 31, the R Consortium presented a webinar with updates on various projects that have been funded (thanks to the R Consortium member dues) and are underway. Each project was presented by the project leader, a member of the R community. You can watch the recording of the webinar here, ... [Read more...]

Three Tips for Training Excel Users in R

February 10, 2017 | Joseph Rickert

by Merav Yuravlivker, CEO of Data Society “I’m not a coder” or “I was never good at math” is a frequent refrain I hear when I ask professionals about their data analysis skills. Through popular culture and stereotypes, most people who don’t have a background in programming automatically ... [Read more...]
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