2355 search results for "Time Series"

Visualizing Bikeshare Data

November 6, 2015
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Visualizing Bikeshare Data

This entry is part 18 of 18 in the series Using RSeattle’s Pronto bikeshare system recently announced a Data Challenge for data visualization using their first year of trip data. As avid cyclists and data analysis junkies, we of course took …   read more ...

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‘inegiR’ – an R package for Mexican official statistics

November 4, 2015
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‘inegiR’ – an R package for Mexican official statistics

(guest post by Eduardo Flores) Introduction For anyone interested in using data from INEGI (the official statistics agency of Mexico), it was sometimes a hasle to look-up all the information in their BIE data base. Of course, their interface is useful for users who need some data series fast because of the export to excel functions. But for users...

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Reverse Geocode using Google API and XML package in R – PART 2

November 3, 2015
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As promised in my previous post this post will dive deeper into understanding how to create links in R and further execute them to generate a list of XML output. In the third and final post we will use this list to filter the data and extract the infor...

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Understanding the Bayesian approach to false discovery rates (using baseball statistics)

November 2, 2015
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Understanding the Bayesian approach to false discovery rates (using baseball statistics)

Previously in this series Understanding the beta distribution (using baseball statistics) Understanding empirical Bayes estimation (using baseball statistics) Understanding credible intervals (using baseball statistics) In my last few posts, I’ve been exploring how to perform estimation of batting averages, as a way to demonstrate empirical Bayesian methods. We’ve been able to construct both point estimates and...

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Applied Statistical Theory: Belief Networks

October 21, 2015
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Applied Statistical Theory: Belief Networks

Applied statistical theory is a new series that will cover the basic methodology and framework behind various statistical procedures. As analysts, we need to know enough about what we’re doing to be dangerous and explain approaches to others. It’s not enough to say “I used X because the misclassification rate was low.” At the same

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How well can you scale your strategy?

October 21, 2015
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How well can you scale your strategy?

This post will deal with a quick, finger in the air way of seeing how well a strategy scales–namely, how … Continue reading →

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Understanding credible intervals (using baseball statistics)

October 20, 2015
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Understanding credible intervals (using baseball statistics)

Previously in this series Understanding the beta distribution (using baseball statistics) Understanding empirical Bayes estimation (using baseball statistics) In my last post, I explained the method of empirical Bayes estimation, a way to calculate useful proportions out of many pairs of success/total counts (e.g. 0/1, 3/10, 235/1000). I used the example of estimating baseball batting averages based...

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trimming CTD files with shiny

October 17, 2015
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trimming CTD files with shiny

Introduction The shiny library provides a graphical user interface (GUI) for the R language that may open up new possibilities for human judgement in data filtering, as well as for the use of R by those who choose not to learn its syntax. The first category is the intended audience here, in this first of a series of blog postings about using shiny...

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Mastering Data Analysis with R

October 17, 2015
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Mastering Data Analysis with R

Sorry about the noisy post title, but it happens to be the name of the book I was working on in the past year, which has been just published at Packt:Although I do not think that reading this ~400 page book will turn everyone into a true master of R and data...

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Installing RStudio & additional R packages in Oracle Big Data Lite VM 4.2.1

Installing RStudio & additional R packages in Oracle Big Data Lite VM 4.2.1

I was very happy to find out that, in the latest version (4.2.1) of Oracle Big Data Lite VM, all the R-related issues I had located and reported in the past (see here and here) have been resolved. Nevertheless, some new issues have emerged. Below are my findings and workarounds (if you are in a hurry, feel free to...

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