The Credibility Crisis in Data Science

March 18, 2019
By
The Credibility Crisis in Data Science

Hugo Bowne-Anderson, the host of DataFramed, the DataCamp podcast, recently interviewed Skipper Seabold, a Director of Data Science at Civis Analytics. Introducing Skipper Seabold Hugo: Hi there, Skipper, and welcome to Data Framed. Skipper: Thanks. Happy to...

Read more »

RStudio Connect Quickstart

March 18, 2019
By
RStudio Connect Quickstart

RStudio have recently announced ‘RStudio Connect QuickStart’ which is a VM containing a full suite of RStudio’s pro tools, available to be trialled for a 45 day period. RStudio...

Read more »

A gentle introduction to SHAP values in R

March 18, 2019
By
A gentle introduction to SHAP values in R

Opening the black-box in complex models: SHAP values. What are they and how to draw conclusions from them? With R code example!

Read more »

Quantifying R Package Dependency Risk

March 18, 2019
By
Quantifying R Package Dependency Risk

We recently commented on excess package dependencies as representing risk in the R package ecosystem. The question remains: how much risk? Is low dependency a mere talisman, or is...

Read more »

Download and Plot Factor Returns from the Fama-French Research Data Library

March 18, 2019
By
Download and Plot Factor Returns from the Fama-French Research Data Library

CategoriesGetting Data Tags Data Management Plot R Programming Since the initial publication of the Three Factor Model by Eugene Fama and Kenneth French in their influential 1993 paper (Common Risk Factors in the Returns...

Read more »

Handling & Sharing PCAPs Like a Boss with PacketTotal

March 17, 2019
By

The fine folks over at @PacketTotal bequeathed an API token on me so I cranked out an R package for it to enable more dynamic investigations work (RStudio makes...

Read more »

Are R ecosystems the future?

March 17, 2019
By

Some random thoughts… Over the past 6 months I’ve been creating, refining, and delivering a variety of ‘Introduction to R’ training courses. The more I do this, the more I...

Read more »

The reticulate package solves the hardest problem in data science: people

March 17, 2019
By
The reticulate package solves the hardest problem in data science: people

Andrew Mangano is the Director of eCommerce Analytics at Albertsons Companies. Part I - Modelling The reticulate package integrates Python within R and, when used with RStudio 1.2, brings the two...

Read more »

R meta programmation

March 17, 2019
By
R meta programmation

Metaprogrammation impact

Read more »

Network Analysis of Emotions

March 17, 2019
By
Network Analysis of Emotions

In this month’s post, I set out to create a visual network of emotions. Emotion Dynamics tells us that different emotions are highly interconnected, such that one emotion morphs...

Read more »

drake transformed

Version 7.0.0 of drake just arrived on CRAN, and it is faster and easier to use than previous releases. install.packages("drake") Recap Data analysis can be slow. A round of scientific computation can...

Read more »

Code and Data in a large Machine Learning project

March 17, 2019
By

We did a large machine learning project at work recently. It involved two data scientists, two backend engineers and a data engineer, all working on-and-off on the R code...

Read more »

Access the free economic database DBnomics with R

March 17, 2019
By
Access the free economic database DBnomics with R

DBnomics : the world’s economic database Explore all the economic data from different providers (national and international statistical institutes, central banks, etc.), for free, following the link db.nomics.world. You can also retrieve...

Read more »

RQuantLib 0.4.8: Small updates

March 17, 2019
By

A new version 0.4.8 of RQuantLib reached CRAN and Debian. This release was triggered by a CRAN request for an update to the configure.ac script which was easy...

Read more »

Rcpp 1.0.1: Updates

March 17, 2019
By

Following up on the 10th anniversary and the 1.0.0. release, we excited to share the news of the first update release 1.0.1 of Rcpp. package turned ten on...

Read more »

Tipster Season

March 16, 2019
By
Tipster Season

So it is approaching AFL mens season, which means that soon everyones twitter feed, Facebook and emails will get clogged up with various tipsters. People saying they have won...

Read more »

wrapr::let()

March 16, 2019
By

I would like to once again recommend our readers to our note on wrapr::let(), an R function that can help you eliminate many problematic NSE (non-standard evaluation) interfaces (and...

Read more »

FWIW “The chance of the setwd() command having the desired effect – making the file paths work –…

March 16, 2019
By
FWIW “The chance of the setwd() command having the desired effect – making the file paths work –…

FWIW “The chance of the setwd() command having the desired effect – making the file paths work – for anyone besides its author is 0%.” You should look into...

Read more »

How to create professional reports from R scripts, with custom styles.

March 16, 2019
By
How to create professional reports from R scripts, with custom styles.

Introduction If the practical tips for R Markdown post we talked briefly about how we can easily create professional reports directly from R scripts, without the need for converting them...

Read more »

Version 0.7.1 of NIMBLE released

March 15, 2019
By
Version 0.7.1 of NIMBLE released

We’ve released the newest version of NIMBLE on CRAN and on our website. NIMBLE is a system for building and sharing analysis methods for statistical models, especially for hierarchical...

Read more »

Adding Custom Fonts to ggplot in R

March 15, 2019
By
Adding Custom Fonts to ggplot in R

ggplot – You can spot one from a mile away, which is great! And when you do it’s a silent The post Adding Custom Fonts to ggplot in R...

Read more »

littler 0.3.7: Small tweaks

March 15, 2019
By
littler 0.3.7: Small tweaks

The eight release of littler as a CRAN package is now available, following in the thirteen-ish year history as a package started by Jeff in 2006, and joined by...

Read more »

Scraping old player data

March 15, 2019
By
Scraping old player data

As its been pointed out to me on that it would be handy if within fitzRoy that it should contain past players data from footywire. So here is roughly how...

Read more »

How I implemented googleSignIn in R (shiny) and lived

March 15, 2019
By
How I implemented googleSignIn in R (shiny) and lived

Known user identity when building shiny apps can sometimes come really handy. While you can implement your own user login, for instance using cookies, you can also use some...

Read more »

R and Python: Using reticulate to get the best of both worlds

March 15, 2019
By
R and Python: Using reticulate to get the best of both worlds

We at STATWORX use mostly R or Python for our projects. But why not both? With the help of the reticulate package we can use Python within R. Here...

Read more »

Software Dependencies and Risk

March 15, 2019
By
Software Dependencies and Risk

Dirk Eddelbuettel just shared an important point on software and analyses: dependencies are hard to manage risks. If your software or research depends on many complex and changing packages,...

Read more »

The Clash of the Titans in Test and ODI cricket

March 15, 2019
By
The Clash of the Titans in Test and ODI cricket

Who looks outside, dreams; who looks inside, awakes. Show me a sane man and I will cure him for you. Carl Jung   We’re made of star stuff. We...

Read more »

#20: Dependencies. Now with badges!

March 14, 2019
By
#20: Dependencies. Now with badges!

Welcome to post number twenty in the randomly redundant R rant series of posts, or R4 for short. It has been a little quiet since the previous post...

Read more »

sparklyr 1.0: Apache Arrow, XGBoost, Broom and TFRecords

March 14, 2019
By
sparklyr 1.0: Apache Arrow, XGBoost, Broom and TFRecords

With much excitement built over the past three years, we are thrilled to share that sparklyr 1.0 is now available on CRAN! The sparklyr package provides an R interface to...

Read more »

Search R-bloggers


Sponsors

Mango solutions







Zero Inflated Models and Generalized Linear Mixed Models with R



wiley.com/learn/datascience

Quantide: statistical consulting and training

ODSC boston

http://www.eoda.de









Six Sigma Online Training

mljar.com

Our ads respect your privacy. Read our Privacy Policy page to learn more.

Contact us if you wish to help support R-bloggers, and place your banner here.