881 search results for "SQL"

Efficient Accumulation in R

July 28, 2015
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Efficient Accumulation in R

by John MountData Scientist, Win-Vector LLC R has a number of very good packages for manipulating and aggregating data (plyr, sqldf, RevoScaleR, data.table, and more), but when it comes to accumulating results the beginning R user is often at sea. The...

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Efficient accumulation in R

July 27, 2015
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Efficient accumulation in R

R has a number of very good packages for manipulating and aggregating data (plyr, sqldf, ScaleR, data.table, and more), but when it comes to accumulating results the beginning R user is often at sea. The R execution model is a bit exotic so many R users are very uncertain which methods of accumulating results are … Continue reading...

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Turning your R (or Python) models into APIs

July 26, 2015
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Turning your R (or Python) models into APIs

More and more real-world systems are relying on data science and analytical models to deliver sophisticated functionality or improved user experiences. For example, Microsoft combined the power of advanced predictive models and web services to develop the real-time voice translation feature in Skype. Facebook and Google continuously improve their deep learning models for...

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Installing and Starting SparkR Locally on Windows OS and RStudio

July 26, 2015
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Installing and Starting SparkR Locally on Windows OS and RStudio

Introduction With the recent release of Apache Spark 1.4.1 on July 15th, 2015, I wanted to write a step-by-step guide to help new users get up and running with SparkR locally on a Windows machine using command shell and RStudio. SparkR provides an R frontend to Apache Spark and using Spark’s distributed computation engine allows…

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Installing and Starting SparkR Locally on Windows OS and RStudio

July 26, 2015
By
Installing and Starting SparkR Locally on Windows OS and RStudio

Introduction With the recent release of Apache Spark 1.4.1 on July 15th, 2015, I wanted to write a step-by-step guide to help new users get up and running with SparkR locally on a Windows machine using command shell and RStudio. SparkR provides an R frontend to Apache Spark and using Spark’s distributed computation engine allows

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New quantmod and TTR on CRAN

July 24, 2015
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I just sent quantmod_0.4-5 to CRAN, and TTR_0.23-0 has been there for a couple weeks. I'd like to thank Ivan Popivanov for many useful reports and patches to TTR. He provided patches to add HMA (Hull MA), ALMA, and ultimateOscillator functions.Jam...

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This R Data Import Tutorial Is Everything You Need

July 21, 2015
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This R Data Import Tutorial Is Everything You Need

You might find that loading data into R can be quite frustrating. Almost every single type of file that you want to get into R seems to require its own function, and even then you might get lost in the functions’ arguments. In short, it can be fairly easy to mix up things from time to The post

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Spark 1.4 for RStudio

July 14, 2015
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Spark 1.4 for RStudio

Today’s guest post is written by Vincent Warmerdam of GoDataDriven and is reposted with Vincent’s permission from blog.godatadriven.com. You can learn more about how to use SparkR with RStudio at the 2015 EARL Conference in Boston November 2-4, where Vincent will be speaking live. This document contains a tutorial on how to provision a spark

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Detecting Undercuts in F1 Races Using R

July 11, 2015
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Detecting Undercuts in F1 Races Using R

One of the things that’s been on my to do list for some time has been the identification of tactical or strategic events within a race that might be detected automatically. One such event is an undercut described by F1 journalist James Allen in the following terms (The secret of undercut and offset): An undercut

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Using PL/R and PL/Python to find Medians and Quartiles in Postgres

July 10, 2015
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Using PL/R and PL/Python to find Medians and Quartiles in Postgres

I’ve recently been exploring options to calculate median and quartiles in my Postgres database. If you’re familiar with quartiles you know how handy they can be. There’s a few different options in the Postgres universe to accomplish this, so I figured I would give them all a whirl and see which was the friendliest (and

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