November 2015

Back to the BLAS Issue

November 21, 2015 | matloff

A few days ago, I wrote here about how some researchers, such Art Owen and Katelyn Gao at Stanford and Patrick Perry at NYU, have been using an old, old statistical technique — random effects models — for a new, new application — recommender systems. In addition to describing their approach to that ... [Read more...]

Climate change and spline interactions

November 21, 2015 | Gavin L. Simpson

In a series of irregular posts1 I’ve looked at how additive models can be used to fit non-linear models to time series. Up to now I’ve looked at models that included a single non-linear trend, as well as a model that included a within-year (or seasonal) part and ...
[Read more...]

Climate change and spline interactions

November 21, 2015 | Gavin L. Simpson

In a series of irregular posts1 I’ve looked at how additive models can be used to fit non-linear models to time series. Up to now I’ve looked at models that included a single non-linear trend, as well as a model that included a within-year (or seasonal) part and ... [Read more...]

Why using R-squared is a bad idea

November 20, 2015 | Heidi's stats blog - Rbloggers

The coefficient of determination is otherwise known as (R^2) and is often used to determine whether a model is good. The Wikipedia article says that (R^2) “[…] is a number that indicates how well data fit a statistical model – sometimes simply a line or a curve. An (R^2) of 1 indicates that ... [Read more...]

Trying to Win with R

November 20, 2015 | Andrew Worsley

A common competition run by vendors of fishing equipment is a ‘guess the weight and win’ where an image of someone holding a fish is posted and it is up to you to guess it’s weight with the closest guess winning a prize. The ‘law of large numbers’ implies ...
[Read more...]

Launching the Data Science Radar!

November 20, 2015 | Mango Blogger

By Steph Locke Here at Mango Solutions, we do a lot of data science consultancy work. This means we face the challenges that any organisation looking to build and maintain a data science facility face. The principal challenge is acquiring … Continue reading → [Read more...]

How long does it take to get to the airport from NYC?

November 20, 2015 | David Smith

Todd W Schneider analyzed a database of 1.1 billion taxi rides in New York City from 2009-2015, and discovered some interesting insights on how New Yorkers use cabs. For example, here's a map of the drop-off locations of each ride in the database: The R code to generate this beautiful map ... [Read more...]

Celebrating one year of blogging with a word cloud

November 20, 2015 | jyothi

This month marks the one year anniversary of Design Data Decisions! To celebrate, I decided to do a ‘visual display’ of this blog by creating a word cloud out of articles posted thus far. Using R. This task turned out to be very easy, because of a cool word cloud ...
[Read more...]

Create ARIMA time series from bottom up

November 20, 2015 | Peter's stats stuff - R

Simulating ARIMA models Generating an arbitrary Auto-Regressive Integrated Moving Average (ARIMA) model is easy in R with the arima.sim() function that is part of the built-in {stats} package. In fact I've done it extensively in previous blog posts for various illustrative purposes. But one cost of doing this for ... [Read more...]

Bayesian tanks

November 20, 2015 | David Lindelöf

The frequentist vs bayesian debate has plagued the scientific community for almost a century now, yet most of the arguments I’ve seen seem to involve philosophical considerations instead of hard data. Instead of letting the sun explode, I propose a simpler experiment to assess the performance of each approach. ... [Read more...]

Product Insights for Airbnb

November 19, 2015 | Edwin Chen

I love marketplaces and marketplace data, so a couple months ago I grabbed some Airbnb data and made a slide deck. A few people have asked me about it, so here it is along with a short summary. My goal was to gather data around potential product strategy, focusing on ...
[Read more...]

Rated R: Recommended Reading

November 19, 2015 | Joseph Rickert

by Joseph Rickert What are you reading? - and what are you recommending to friends, colleagues, and students who want to learn something about R programming? A quick search of Amazon will show that there are several new R books proposed for 2016; but of course, new doesn't necessarily mean better. ... [Read more...]

Data Analysis Lectures

November 19, 2015 | "Mauricio Vargas S. 帕夏"

This is the 1st theoretical post I'm writing on this blog. I'll review some important Linear Algebra concepts that I'm using at work and these will save you a lot of time if you work with large datasets as I do. Diagonalization Cayley-Hamilton Theorem Time saving steps in R Diagonalization ... [Read more...]

Working with Data Frames in Python and R

November 19, 2015 | Andrew Worsley

Originally posted on Data Hipsters: Data frame objects facilitate most data analysis exercises in both R and Python (perhaps with the exception of time series analysis, where the focus is on R time series and Pandas series objects). Data frames are a tidy and meaningful way to store data. This ...
[Read more...]

The Unreported War On America’s Poor

November 18, 2015 | Francis Smart

The Democratic firebrand Bernie Sander's keeps harping on this point about income inequality in the United States, yet I have to wonder, how bad is it really and do we care?First off, there is a legitimate reason to ask, if we should care. After all, throughout history, nations have ... [Read more...]

The Unreported War On America’s Poor

November 18, 2015 | Francis Smart

The Democratic firebrand Bernie Sander's keeps harping on this point about income inequality in the United States, yet I have to wonder, how bad is it really and do we care?First off, there is a legitimate reason to ask, if we should care. After all, t... [Read more...]
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