899 search results for "sql"

infuser: a template engine for R

May 17, 2015
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Version 0.1 of infuser was just released on CRAN. infuser is a very basic templating engine. It allows you to replace parameters in character strings or text files with a given specified value. I would often include some SQL code in my R scripts so t...

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Getting started with MongoDB in R

May 14, 2015
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Getting started with MongoDB in R

The first stable version of the new mongolite package has appeared on CRAN. Mongolite builds on jsonlite to provide a simple, high-performance MongoDB client for R, which makes storing and accessing small or large data as easy as converting it ...

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Computerworld’s list of R packages for data wrangling

May 13, 2015
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Computerworld's Sharon Machlis published today a very useful list of R packages that every R user should know. The list covers packages for data import, data wrangling, data visualization and package development, but for beginning R users the biggest challenge is usually just dealing with data. To that end, I thought it was worth listing the package for data...

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streaming machine learning with RMOA: stream_in > train > predict

streaming machine learning with RMOA: stream_in > train > predict

We will be showcasing our RMOA package at the next R User conference in Aalborg. For the R users who are unfamiliar with streaming modelling and want to be ahead of the Gartner Hype cycle or want to evaluate existing streaming machine learning models, RMOA allows to build, run and evaluate streaming classification models which are built in

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Using Azure as an R data source, Part 1

May 12, 2015
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Using Azure as an R data source, Part 1

by Gregory Vandenbrouck Software Engineer at Microsoft This post is the first in a series that covers pulling data from various Windows Azure hosted storage solutions (such as MySQL, or Microsoft SQL Server) to an R client on Windows or Linux. We’ll start with a relatively simple case of pulling data from SQL Azure to an R client on...

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Odd Connections Inside The NASDAQ-100

May 8, 2015
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Odd Connections Inside The NASDAQ-100

Distinguishing the signal from the noise requires both scientific knowledge and self-knowledge (Nate Silver, author of The Signal and the Noise) Analyzing the evolution of NASDAQ-100 stock prices can discover some interesting couples of companies which share a strong common trend despite of belonging to very different sectors. The NASDAQ-100 is made up of 107 … Continue reading...

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RStudio v0.99 Preview: More Editor Enhancements

May 6, 2015
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RStudio v0.99 Preview: More Editor Enhancements

We’ve blogged previously about various improvements we’ve made to the source editor in RStudio v0.99 including enhanced code completion, snippets, diagnostics, and an improved Vim mode. Besides these larger scale features we’ve made lots of smaller improvements that we also wanted to highlight. You can try out all of these features now in the RStudio

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Dockerizing a Shiny App

April 30, 2015
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After a long pause of more than four months, I am finally back to post here. Unfortunately, many commitments prevented me keep posting, but coming back, i changed the deployment (now this blog runs entirely within a docker container with some other cool things I intend to post more forward) and wrote this post. 1. The post

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How to Add WAR Metrics to your Lahman Database

April 30, 2015
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How to Add WAR Metrics to your Lahman Database

I get a lot of questions on how to calculate WAR in the Lahman database. In the past I’ve discussed ways to calculate wOBA and FIP in Lahman but WAR has always been difficult due to the “closed-source” nature of the calculation. But there is an answer While stumbling around on Baseball Reference one day,

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R, Python, MATLAB, & Excel Dashboards & Graphs with D3.js & WebGL

April 29, 2015
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R, Python, MATLAB, & Excel Dashboards & Graphs with D3.js & WebGL

Web tools like D3.js and WebGL let you make beautiful, interactive 2D and 3D graphs. You can now publish graphs and dashboards with these technologies using Python, R, MATLAB, & Excel. Publishing and sharing is one extra line of code. This post puts you on your way, no downloads or installations required. We’ll start with ggplot2; scroll to see Python and MATLAB plots in 2D and 3D. See our

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