2352 search results for "Time series"

more e’s [and R’s]

February 21, 2016
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more e’s [and R’s]

Alex Thiéry suggested debiasing the biased estimate of e by Rhee and Glynn truncated series method, so I tried the method to see how much of an improvement (if any!) this would bring. I first attempted to naïvely implement the raw formula of Rhee and Glynn with a (large) Poisson distribution on the stopping rule

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bayesboot: An R package for doing the Bayesian bootstrap

February 19, 2016
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bayesboot: An R package for doing the Bayesian bootstrap

I recently wrapped up a version of my R function for easy Bayesian bootstrappin’ into the package bayesboot. This package implements a function, also named bayesboot, which performs the Bayesian bootstrap introduced by Rubin in 1981. The Bayesian bootstrap can be seen as a smoother version of the classical non-parametric bootstrap, but I prefer seeing the classical...

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Bay Area useR Group Lightning Talks

February 18, 2016
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Bay Area useR Group Lightning Talks

by Joseph Rickert Earlier this month the Bay Area useR Group (BARUG) held it annual lightning talk meeting. This is by far our most popular meeting format: eight, 15 minute talks (12 minutes speaking and 3 minutes Q & A while the next speaker is setting up) packed into a two hour time slot. The intensity seems to really...

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Basic Data Types in r

February 16, 2016
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As part of tutorial series on Data Science with R from Data Perspective, this first tutorial introduces the very basics of R programming language about basic data types in R.What we learn:Assignment OperatorNumericIntegerComplex numberlogicalCharacterFactorVectorData FrameAfter the end of the chapter, you are provided with R console so that you can practice what you have learnt in this chapter.R...

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Getting Started with Microsoft SQL Server on Azure

February 11, 2016
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Getting Started with Microsoft SQL Server on Azure

by Joseph Rickert If you are an R user and work for an enterprise where Microsoft SQL server is important, it is extremely helpful to have easy access to SQL Server databases. Over the past year, we have run several posts on this topic including a comprehensive four part series from Microsoft's Gregory Vandenbrouck on using various flavors of...

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Analysis: Clinton backed by Big Money: Sanders by Small

February 10, 2016
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Analysis: Clinton backed by Big Money: Sanders by Small

This article examines FEC data in depth and finds what most people already know. Hillary Clinton's presidential bid is financed largely through a relatively small quantity of big donors while Bernie Sanders' presidential bid is funded by numerous small donors.In order to do our analysis, we look at four hundred thousand individualized contributions reported to the...

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The Easiest Way to Learn ggplot2

February 10, 2016
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Learn how to produce meaningful and beautiful data visualizations with DataCamp’s ggplot2 course series. Be introduced to the principles of good visualizations and the grammar of graphics plotting concept implemented in the ggplot2 package. Learn yourself how to make complex exploratory plots, and be able to make a custom plotting function to explore a large data set, combining...

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Mastering R plot – Part 2: Axis

February 6, 2016
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Mastering R plot – Part 2: Axis

This is the second part of the Mastering R plot series. The standard plot function in R allows extensive tuning of every element being plotted. There are, however, many possible ways and the standard help file are hard to grasp at the beginning. In this article we will see how to control every aspects of

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Like peanut butter and jelly: x13binary and seasonal

February 2, 2016
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Like peanut butter and jelly: x13binary and seasonal

This post was written by Dirk Eddelbuettel and Christoph Sax and posted by both author’s respective blogs. The seasonal package by Christoph Sax brings a very featureful and expressive interface for working with seasonal data to the R environment. It uses the standard tool of the trade: X-13ARIMA-SEATS. This powerful program is provided by the

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Like peanut butter and jelly: x13binary and seasonal

February 2, 2016
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This post was written by Dirk Eddelbuettel and Christoph Sax and will be posted on both author's respective blogs. The seasonal package by Christoph Sax brings a very featureful and expressive interface for working with seasonal data to the R environment. It uses the standard tool of the trade: X-13ARIMA-SEATS. This powerful program is...

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