1851 search results for "time series"

Checking (G)LM model assumptions in R

April 16, 2014
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Checking (G)LM model assumptions in R

(Generalized) Linear models make some strong assumptions concerning the data structure: Independance of each data points Correct distribution of the residuals Correct specification of the variance structure Linear relationship between the response and the linear predictor For simple lm 2-4) means that the residuals should be normally distributed, the variance should be homogenous across the

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Topic Modeling In R

April 16, 2014
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Editor's note: This is the first in a series of posts from rOpenSci's recent hackathon. I recently had the pleasure of participating in rOpenSci's hackathon. To be honest, I was quite nervous to work among such notables, but I immediately felt welcome thanks to a warm and personable group. Alyssa Frazee has a great post summarizing...

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The ins and outs of interacting with web APIs

April 14, 2014
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We've received a number of questions from our users about dealing with the finer details of data sources on the web. Whether you're reading data from local storage such as a csv file, a .Rdata store, or possibly a proprietary file format, you've most likely run into some issues in the past. Common problems include passing incorrect paths, files...

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Exploring US healthcare data

April 13, 2014
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A few days ago, the Centers for Medicare and Medicaid Services (CMS) released some unprecedented data on the US healthcare system. The data consists of 9 million rows showing how much each doctor in the US charged Medicare, for what, and how much Medicare paid out. It doesn't quite cover everything (for example, services with less than 11...

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Survey: Computing Your Own Post-Stratification Weights in R

April 13, 2014
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Social Science Goes R: Weighted Survey Data Survey Data: Computing Your Own Weights The second installment in my series on working with survey data in R explains how to compute your own post-stratification weights to use with survey data. For a more...

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Exploring US Healthcare data

April 13, 2014
By

A few days ago, the Centers for Medicare and Medicaid Services (CMS) released some unprecedented data on the US healthcare system. The data consists of 9 million rows showing how much each doctor in the US charged Medicare, for what, and how much Medicare paid out. It doesn't quite cover everything (for example, services with less than 11...

Read more »

Beeps and progress alerts to your phone

April 9, 2014
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Beeps and progress alerts to your phone

Recently I encountered an R package called pingr, made by Rasmus Bååth (the same guy who did MCMC in a web page, my visualization of 2013). You install it, you type ping(), and it goes ping. Nice. In fact there … Continue reading →

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Five Reasons to Teach Elementary Statistics With R: #2

April 8, 2014
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Five Reasons to Teach Elementary Statistics With R:  #2

Introduction Reason #2: RStudio’s manipulate Do It Yourself Next Time Introduction This is is second in a projected five-part series of posts aimed at colleagues who teach elementary statistics. If you teach with R but hesitate to spring such a powerful and...

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Five Reasons to Teach Elementary Statistics With R: #2

April 8, 2014
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Five Reasons to Teach Elementary Statistics With R:  #2

Introduction Reason #2: RStudio’s manipulate Do It Yourself Next Time Introduction This is is second in a projected five-part series of posts aimed at colleagues who teach elementary statistics. If you teach with R but hesitate to spring such a powerful and...

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Ensemble Packages in R

April 8, 2014
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Ensemble Packages in R

by Mike Bowles Mike Bowles is a machine learning expert and serial entrepreneur. This is the second post in what is envisioned as a four part series that began with Mike's Thumbnail History of Ensemble Models. One of the main reasons for using R is the vast array of high-quality statistical algorithms available in R. Ensemble methods provide a...

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