2353 search results for "TIME SERIES"

Rcpp 0.12.3: Keep rollin’

January 10, 2016
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The third update in the 0.12.* series of Rcpp arrived on the CRAN network for GNU R earlier today, and has been pushed to Debian. It follows the 0.12.0 release from late July, the 0.12.1 release in September, and the 0.12.2 release in November making...

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Rcpp 0.12.2: Keep rollin’

January 10, 2016
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The third update in the 0.12.* series of Rcpp arrived on the CRAN network for GNU R earlier today, and has been pushed to Debian. It follows the 0.12.0 release from late July, the 0.12.1 release in September, and the 0.12.2 release in November making...

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The Star Wars Grossing War

January 10, 2016
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The Star Wars Grossing War

Motivation I could finally made to the movies for watching the new Star Wars release this weekend. Although this episode wasn’t that spectacular, in my view, it did inspire some data seeking afterwards. I wanted to know how this film compares to others top movies in terms of worldwide grossing as well as within the Star Wars series. Fortunately, there is...

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The Star Wars Grossing War

January 10, 2016
By
The Star Wars Grossing War

Motivation I finally made to the movies for watching the new Star Wars release this weekend. Although this episode wasn’t that spectacular, in my view, it did inspire some data seeking afterwards. I wanted to know how this film compares to others top movies in terms of worldwide grossing as well as within the Star Wars series. Fortunately, there is a...

Read more »

The Evolution of Distributed Programming in R

January 7, 2016
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By Paulin Shek Both R and distributed programming rank highly on my list of “good things”, so imagine my delight when two new packages, ddR (https://github.com/vertica/ddR) and multidplyr (https://github.com/hadley/multidplyr), used for distributed programming in R were released in November last … Continue reading →

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Review: Learning Shiny

January 5, 2016
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Review: Learning Shiny

I was asked to review Learning Shiny (Hernán G. Resnizky, Packt Publishing, 2015). I found the book to be useful, motivating and generally easy to read. I'd already spent some time dabbling with Shiny, but the book helped me graduate from paddling in the shallows to wading out into the Shiny sea. The book states The post

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Our R package roundup

December 30, 2015
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Our R package roundup

A year in review It’s the time of the year again where one eats too much, and gets in a reflective mood! 2015 is nearly over, and us bloggers here at opiateforthemass.es thought it would be nice to argue endlessly which R package was the best/neatest/most fun/most useful/most whatever in this year! Since we are in a festive mood, we decided...

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R-Markdown and Knitr Tutorial (Part 1)

December 28, 2015
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R-Markdown is a great way to create dynamic documents with embedded chunks of R code. The document is self contained and fully reproducible which makes it very easy to share. This post will be the first in a multi part series on how to embed Plotly graphs in R-Markdown documents as well as presentations. R-Markdown

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Using Checksum to Guess Message Length: Not a Good Idea!

December 22, 2015
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Using Checksum to Guess Message Length: Not a Good Idea!

A question posed by one of my colleagues: can a checksum be used to guess message length? My immediate response was negative and, as it turns out, a simple simulation supported this knee-jerk reaction. Here's the situation: a piece of software has been written to process a stream of messages. Each message is a sequence The post

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Prediction Intervals for Poisson Regression

December 20, 2015
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Prediction Intervals for Poisson Regression

Different from the confidence interval that is to address the uncertainty related to the conditional mean, the prediction interval is to accommodate the additional uncertainty associated with prediction errors. As a result, the prediction interval is always wider than the confidence interval in a regression model. In the context of risk modeling, the prediction interval

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