October 2015

Using miniCRAN in Azure ML

October 13, 2015 | Joseph Rickert

by Michele Usuelli Microsoft Data Scientist Azure Machine Learning Studio is a drag-and-drop tool to deploy data-driven solutions. It contains pre-built items including data preparation tools and Machine Learning algorithms. In addition, it allows to include R and Python custom scripts. In order to build powerful R tools, you might ... [Read more...]

New R-Academy course in November 2015: “R in Live Systems“

October 13, 2015 | eoda GmbH

The eoda R-Academy course “R in Live Systems” teaches key aspects of using R in a productive business environment with many practical examples from 16th to 17th November 2015 in Kassel, Germany. The professional use of R indicates special requirements in terms of reproducibility, compatibility, teamwork, load distribution and rights management. ... [Read more...]

Rexer Analytics Survey Results

October 13, 2015 | Bob Muenchen

Rexer Analytics has released preliminary results showing the usage of various data science tools. I’ve added the results to my continuously-updated article, The Popularity of Data Analysis Software. For your convenience, the new section is repeated below. Surveys of Use One … Continue reading →
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Understanding Margin of Error for Small Populations

October 13, 2015 | » R

I got an email today inquiring if the margin of error reported in the newest poll by Datafolha would possibly be misleading. The polling firm often report surveys with regular sizes (1000/2400), so the margin of error calculated is in the range of +/-2% to +/-3%. However, in the latest pool, ...
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Recommendations for First Year Graduate Students

October 12, 2015 | strictlystat

This blog post is a little late; I wanted to get it out sooner. As new students have flooded the halls for the new terms at JHU Biostat, I figured I would give some recommendations to our new students, and biostatistics students in general. Some of these things may be ... [Read more...]

Slack sends Code Snippets to Hotel California

October 12, 2015 | Steve Simpson

… We are programmed to receive. You can check out any time you like, But you can never leave. … That’s what it feels like sometimes when trying to share code snippets on Slack. Sure, it’s easy to drop some code on there; but getting it out? Caveat Coder That ... [Read more...]

10 Reasons to come to EARL Boston

October 12, 2015 | Angela Roberts

Mango Solutions are organising and running the EARL (Effective Applications of the R Language)  Conference in Boston on 2-4 November 2015.  This Conference is for all users, enthusiasts and beginners of the R programming language.  Following on from the very successful London EARL … Continue reading → [Read more...]

A Guide on R quantmod Package: How to Get Started?

October 12, 2015 | R programming

“The quantmod package for R is designed to assist the quantitative trader in the development, testing, and deployment of statistically based trading models.” It is a rapid prototyping environment where enthusiasts can explore various technical indicators with minimum effort. It offers charting facilities that is not available elsewhere in R. ... [Read more...]

Seinfeld streak at GitHub: Round Two

October 12, 2015 | Thinking inside the box

So one year ago, I posted a reference to the Seinfeld Streak as used in an even earlier post of regular updates to to the Rcpp Gallery: This is sometimes called Jerry Seinfeld's secret to productivity: Just keep at it. Don't break the streak. Now it is one year later ... [Read more...]

Seinfeld streak at GitHub: Round Two

October 12, 2015 | Thinking inside the box

So one year ago, I posted a reference to the Seinfeld Streak as used in an even earlier post of regular updates to to the Rcpp Gallery: This is sometimes called Jerry Seinfeld's secret to productivity: Just keep at it. Don't break the streak. Now it is one year later ... [Read more...]

Lessons Learned from Developing a Data Product

October 11, 2015 | J.S. Ramos

For an assignment I was asked to develop a visual ‘data product’ that informed decisions on video game ratings taking as an indicator their ranking on the MetaCritic site. I decided to use RStudio’s Shiny package to develop it as a visual product and then publish it to shinyapps.... [Read more...]

Practicing Meta-Analytic Thinking Through Simulations

October 11, 2015 | Daniel Lakens

People find it difficult to think about random variation. Our mind is more strongly geared towards recognizing patterns than randomness. In this blogpost, you can learn what random variation looks like, how to reduce it by running well-powered studies, and how to meta-analyze multiple small studies. This is a long ...
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