# 60 search results for "ecdf"

## Post 4: Sampling the person ability parameters

October 8, 2013
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The previous post outlined the general strategy of writing a MH within Gibbs sampler by breaking the code into two levels: a high level shell and a series of lower-level samplers which do the actual work. This post discusses the … Continue reading →

## The Problem with Percentiles

September 8, 2013
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The Problem with Percentiles Percentiles (or, more accurately, quantiles) are deeply embedded in the psyche of actuaries, statisticians and similar beasts. They are referred to implicitly in the Solvency 2 directive (Article 100, Value at Risk) without explanation. They are so ingrained...

## TV Ratings Myths

August 28, 2013
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TV Show Cancellations: Myths and Models TV shows are amazing ways to waste time and, on occasion, the story is so good that you actually start to care. The problem is that some shows get cancelled before they jump the shark. Classic examples are shows like

## TV Ratings Myths

August 28, 2013
By

TV Show Cancellations: Myths and Models TV shows are amazing ways to waste time and, on occasion, the story is so good that you actually start to care. The problem is that some shows get cancelled before they jump the shark. Classic examples are shows like

## Exploratory Data Analysis: 2 Ways of Plotting Empirical Cumulative Distribution Functions in R

$Exploratory Data Analysis: 2 Ways of Plotting Empirical Cumulative Distribution Functions in R$

Introduction Continuing my recent series on exploratory data analysis (EDA), and following up on the last post on the conceptual foundations of empirical cumulative distribution functions (CDFs), this post shows how to plot them in R.  (Previous posts in this series on EDA include descriptive statistics, box plots, kernel density estimation, and violin plots.) I

## Exploratory Data Analysis: Conceptual Foundations of Empirical Cumulative Distribution Functions

Introduction Continuing my recent series on exploratory data analysis (EDA), this post focuses on the conceptual foundations of empirical cumulative distribution functions (CDFs); in a separate post, I will show how to plot them in R.  (Previous posts in this series include descriptive statistics, box plots, kernel density estimation, and violin plots.) To give you

## Monitoring des médias 2

May 6, 2013
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(This article was first published on Learning Data Science , and kindly contributed to R-bloggers) Petit monitoring de notre observatoire des médias sur Twitter. Chez Mediapart : Le Monde Le Figaro Le parisien Vue globale Le code pour réaliser ce post : To leave a comment for the author, please follow the link and comment on their blog: Learning...

## Fixing My Internet With R and Python

February 20, 2013
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Last summer, I had some internet connectivity problems. Specifically, I would have massive latency issues that affected my conversations on Skype and my relatively pathetic under the best of circumstances efforts at online gaming. It was driving me up a wall and I couldn't figure it out. It hadn't...

## Fixing My Internet With R and Python

February 20, 2013
By

Last summer, I had some internet connectivity problems. Specifically, I would have massive latency issues that affected my conversations on Skype and my relatively pathetic under the best of circumstances efforts at online gaming. It was driving me up a wall and I couldn't figure it out. It hadn't...

## Another Way to Look at Vanguard and Pimco

February 20, 2013
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I like the results of the analysis shown in my post Applying Tradeblotter’s Nice Work Across Manager Rather than Time, but I was not satisfied that the plot allowed a quick summary comparison of the two massive fund complexes.  I am much more pl...