# Blog Archives

## Random samples in JS using R functions

October 15, 2015
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For a JavaScript-based project I’m working on, I need to be able to sample from a variety of probability distributions. There are ways to call R from JavaScript, but they depend on the server running R. I can’t depend on that. I need a pure JS solution. I found a handful of JS libraries that

## Can pregnant women intuit the sex of their children?

December 11, 2014
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“So let’s start with the fact that the study had only 100 people, which isn’t nearly enough to be able to make any determinations like this. That’s very small power. Secondly, it was already split into two groups, and the two groups by the way have absolutely zero scientific basis. There is no theory that

## Labor day distribution fun

September 1, 2014
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Pinned, entropy augmented, digitally normal distribution, of no particular work-related use and thus perfectly suitable for today. Code in R: iters = 1000 sd = 2 precision = 20   results = rep(0,iters)   for(i in 1:iters) { x = floor(rnorm(20,5,sd) %% 10) results = paste(c('.',x),sep="",collapse="") }   results = as.numeric(results)   plot(density(results,bw=.01),col="blue",lwd=3,bty="n")

## The hat trick

July 3, 2013
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In his book Quantum Computing Since Democritus, Scott Aaronson poses the following question: Suppose that you’re at a party where every guest is given a hat as they walk in. Each hat has either a pineapple or a watermelon on top, picked at random with equal probability. The guests don’t get to see the fruit

## Uncovering the Unreliable Friend Distribution

May 30, 2013
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Head down to your local hardware store and pick up a smoke detector. Pop off the cover and look inside. You’ll see a label that mentions Americium 241, a radioactive isotope. Put on your HEV suit, grab a pair of tweezers and a fine-tipped pen, and remove the 0.3 millionths of a gram of Americium.

## High Obesity levels found among fat-tailed distributions

April 11, 2013
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In my never ending quest to find the perfect measure of tail fatness, I ran across this recent paper by Cooke, Nieboer, and Misiewicz. They created a measure called the “Obesity index.” Here’s how it works: Step 1: Sample four times from a distribution. The sample points should be independent and identically distributed (did your

## Review of Mathematica 9 and R-link

March 18, 2013
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VIDEO TRANSCRIPT: Hello, this is Matt Asher from StatisticsBlog.com. I’m going to be reviewing Mathematica 9, from Wolfram Research. In particular, I’ll be focusing on using it with R and to do Monte Carlo simulations and other statistical work. You can find a full transcript of this video at my blog, including the source code

## Statistical computation in JavaScript — am I nuts?

February 28, 2013
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Over the past couple weeks, I’ve been considering alternatives to R. I’d heard Python was much faster, so I translated a piece of R code with several nested loops into Python (it ran an order of magnitude faster). To find out more about Mathematica 9, I had an extended conversation with some representatives from Wolfram

## What’s my daughter listening to? HTML chart gen in R

February 22, 2013
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My daughter, who turns 10 in April, has discovered pop music. She’s been listing to Virgin Radio 99.9, one of our local stations. Virgin provides an online playlist that goes back four days, so I scraped the data and brought it into R. The chart shown at top shows all of the songs played

## Population simulation leads to Valentine’s Day a[R]t

February 14, 2013
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Working on a quick-and-dirty simulation of people wandering around until they find neighbors, then settling down. After playing with the coloring a bit I arrived at the above image, which I quite like. Code below: # Code by Matt Asher for statisticsblog.com # Feel free to modify and redistribute, but please keep this notice