Blog Archives

Review of Efficient R Programming

May 18, 2017
By
Review of Efficient R Programming

In the crowded market space of data science and R language books, Lovelace and Gillespie’s Efficient R Programming (2016) stands out from the crowd. Over the course of ten comprehensive chapters, the authors address the primary tenets of developing efficient R programs. Unless you happen to be a member of the R core development team, you will find this...

Read more »

Databases using R

May 16, 2017
By
Databases using R

Current State Using databases is unavoidable for those who analyze data as part of their jobs. As R developers, our first instinct may be to approach databases the same way we do regular files. We may attempt to read the data either all at once or as few times as possible. The aim is to reduce the number of times...

Read more »

Looking Forward to R/Finance 2017

May 11, 2017
By

R / Finance 2017 starts next Friday, and once again, I am excited about going. It’s true that there are quite a few fun and informative R gatherings these days, but R / Finance is a “big deal” because it is the “real deal”. Finance has been, and remains, one of the driving applications underlying the R language. (A...

Read more »

Mapping Quandl Macroeconomic Data

May 9, 2017
By

In previous posts, we built a map to access global ETFs and a simple Shiny app to import and forecast commodities data from Quandl. Today, we will begin a project that combines those previous apps. Our end goal is to build an interactive map to access macroeconomic data via Quandl, allowing the user to choose an economic indicator and...

Read more »

Shiny in Medicine

May 2, 2017
By
Shiny in Medicine

Shiny Apps are becoming ubiquitous as a way for data scientists to present the results of an analysis, and also to engage with information consumers who may not be coders. The trend I see is that the greater the variety of skills and interests of the information consumers for any particular project, the more valued are interactive visualizations that...

Read more »

How to Establish a Web Presence as an R User and Why It’s Important

May 1, 2017
By
How to Establish a Web Presence as an R User and Why It’s Important

If you are a developer using the R environment to do your programming work, you are probably feeling left out and a bit segregated from the rest of the programming industry. It’s true that not many people know about the R language and what its uses are; however, things have been getting better in the past couple of years...

Read more »

NY R Conference

April 27, 2017
By
NY R Conference

The 2017 New York R Conference was held last weekend in Manhattan. For the third consecutive year, the organizers - a partnership including Lander Analytics, The New York Meetup and Work-Bench - pulled off a spectacular event. There was a wide range of outstanding talks, some technical and others more philosophical, a palpable sense of community and inclusiveness, great...

Read more »

Survival Analysis with R

April 25, 2017
By
Survival Analysis with R

With roots dating back to at least 1662 when John Graunt, a London merchant, published an extensive set of inferences based on mortality records, Survival Analysis is one of the oldest subfields of Statistics . Basic life-table methods, including techniques for dealing with censored data, were known before 1700 . In the early eighteenth century, the old masters, de...

Read more »

A Shiny App for Importing and Forecasting Commodities Prices from Quandl

April 20, 2017
By

In a previous post, we imported oil data from Quandl and applied a simple model to it. Today, we’ll port that work over to a Shiny app (by way of flexdashboard, of course) that allows a user to choose a commodity (oil, copper or gold), choose a frequency for the time series, and choose how many periods ahead to...

Read more »

A Shiny App for Importing and Forecasting Commodities Prices from Quandl

April 20, 2017
By

In a previous post, we imported oil data from Quandl and applied a simple model to it. Today, we’ll port that work over to a Shiny app (by way of flexdashboard, of course) that allows a user to choose a commodity (oil, copper or gold), choose a frequency for the time series, and choose how many periods ahead to...

Read more »

Search R-bloggers

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)