1706 search results for "tutorial"

A brief foray into parallel processing with R

January 21, 2014
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A brief foray into parallel processing with R

I’ve recently been dabbling with parallel processing in R and have found the foreach package to be a useful approach to increasing efficiency of loops. To date, I haven’t had much of a need for these tools but I’ve started working with large datasets that can be cumbersome to manage. My first introduction to parallel

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analyze the national survey of oaa participants (nps) with r

January 21, 2014
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the united states administration on aging (aoa) spends about a billion dollars on community services and meals for elderly americans every year.  enacted as part of lyndon johnson's great society program, title iii of the older americans act funds...

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Rectangular Integration (a.k.a. The Midpoint Rule)

Rectangular Integration (a.k.a. The Midpoint Rule)

Introduction Continuing on the recently born series on numerical integration, this post will introduce rectangular integration.  I will describe the concept behind rectangular integration, show a function in R for how to do it, and use it to check that the distribution actually integrates to 1 over its support set.  This post follows from my

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RProtoBuf 0.4.0: A whole lot of goodies and Windoze support

January 20, 2014
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A new major release 0.4.0 of RProtoBuf, is now on CRAN. RProtoBuf provides GNU R bindings for the Google Protocol Buffers ("Protobuf") data encoding library used and released by Google, and deployed as a language and operating-system agnostic proto...

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Coxcomb Plots and Spiecharts in R

January 20, 2014
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Coxcomb Plots and Spiecharts in R

I am not a great fan of pie charts since they are often

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Visualization Series: Using Scatterplots and Models to Understand the Diamond Market (so You Don’t Get Ripped Off)

January 19, 2014
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Visualization Series: Using Scatterplots and Models to Understand the Diamond Market (so You Don’t Get Ripped Off)

My last post railed against the bad visualizations that people often use to plot quantitive data by groups, and pitted pie charts, bar charts and dot plots against each other for two visualization tasks.  Dot plots came out on top. … Continue reading →

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In case you missed it: December 2013 Roundup

January 17, 2014
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In case you missed them, here are some articles from December of particular interest to R users: A ComputerWorld tutorial on basic data processing with R. Prediction: R will replace legacy SAS solutions and go mainstream. A chart of the growth of R user groups and local R meetings. I discussed R, data science and big data in an...

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Why R is Better Than Excel for Fantasy Football (and most other) Data Analysis

January 13, 2014
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Many articles have been written on why R is better than Excel for data analysis.  In this post, I will summarize the reasons why R is advantageous in most data The post Why R is Better Than Excel for Fantasy Football (and most other) Data Analysis appeared first on Fantasy Football Analytics.

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garch models caught in the spotlight

January 13, 2014
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garch models caught in the spotlight

An attempt to clarify the basics. Previously There have been several posts about garch.  In particular: A practical introduction to garch modeling The components garch model in the rugarch package Genesis A reader emailed me because he was confused about the workings of garch in general, and simulation with the empirical distribution in particular. If … Continue reading...

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Quick guide to parallel R with snow

January 10, 2014
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Quick guide to parallel R with snow

Probably, the most common complains against R are related to its speed issues, especially when handling a high volume of information. This is, in principle, true, and relies partly on the fact that R does not run parallely…. unless you … Continue reading →

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