2840 search results for "Twitter"

Trading Strategy Sensitivity Analysis

November 28, 2011
By
Trading Strategy Sensitivity Analysis

When designing a trading strategy, I want to make sure that small changes in the strategy parameters will not transform the profitable strategy into the loosing one. I will study the strategy robustness and profitability under different parameter scenarios using a sample strategy presented by David Varadi in the Improving Trend-Following Strategies With Counter-Trend Entries

Read more »

How to speed up loops in R

November 28, 2011
By
How to speed up loops in R

As with any language, there are often several ways to code up the solution to a programming problem in R. If performance of the code is important (i.e. it's something you plan to run many times, or with a lot of data), how you code the solution can often have a big impact on how fast it runs. For...

Read more »

Predicting Gender

November 28, 2011
By
Predicting Gender

If there are two (can be generalized to n) classes and both follow the same distribution (but with different parameters) it is possible to predict which class an observations comes from. Here I’ll try to predict a sample’s gender based on their height. The distribution of a person’s height is more or less normal. There

Read more »

A nice short article on memory in R

November 28, 2011
By
A nice short article on memory in R

There is a nice short article on memory issue in R at http://www.matthewckeller.com/html/memory.html. If you use R to process large data, you might find it helpful. It introduces: - checking how much memory an object is taking; - the memory … Continue reading →

Read more »

A Story of Life and Death. On CRAN. With Packages.

November 27, 2011
By

The Comprehensive R Archive Network, or CRAN for short, has been a major driver in the success and rapid proliferation of the R statistical language and environment. CRAN currently hosts around 3400 packages, and is growing at a rapid rate. Not too ...

Read more »

GTA R Users Group – Using R for Data Mining Competitions

November 27, 2011
By
GTA R Users Group – Using R for Data Mining Competitions

Here are the presentation slides I used for my talk on “Using R for Data Mining Competitions” at Ryerson University as part of the Greater Toronto Area (GTA) R User’s Meetup Group. Presentation (Prezi) Presentation (PDF) Meetup Event page Special thanks to Anthony Goldbloom from Kaggle and various competition winners for sharing their code and

Read more »

The Global Earthquake Desktop

November 25, 2011
By
The Global Earthquake Desktop

One of the first things I do over coffee each morning is scroll through the USGS earthquake RSS feeds.  In the era of free data and open source computing I asked myself, "Wouldn't it be better to visualize all of the earthquakes around the world r...

Read more »

Introduction to Backtesting library in the Systematic Investor Toolbox

November 24, 2011
By
Introduction to Backtesting library in the Systematic Investor Toolbox

I wrote a simple Backtesting library to evaluate and analyze Trading Strategies. I will use this library to present the performance of trading strategies that I will study in the next series of posts. It is very easy to write a simple Backtesting routine in R, for example: The code I implemented in the Systematic

Read more »

bounded normal mean

November 24, 2011
By
bounded normal mean

A few days ago, one of my students, Jacopo Primavera (from La Sapienza, Roma) presented his “reading the classic” paper, namely the terrific bounded normal mean paper by my friends George Casella and Bill Strawderman (1981, Annals of Statistics). Even though I knew this paper quite well, having read (and studied) it myself many times,

Read more »

“Home Runs by Park – 2011 Season” or “Man the Astros Sucked This Year”

November 24, 2011
By
“Home Runs by Park – 2011 Season” or “Man the Astros Sucked This Year”

I hate the Giants. Let this be known. What i was hoping to find was another reason to support my claim that their WS win in 2010 was a complete fluke.  So when digging through the game logs for the … Continue reading →

Read more »

Sponsors

Mango solutions



RStudio homepage



Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training



http://www.eoda.de









ODSC

CRC R books series











Contact us if you wish to help support R-bloggers, and place your banner here.

Never miss an update!
Subscribe to R-bloggers to receive
e-mails with the latest R posts.
(You will not see this message again.)

Click here to close (This popup will not appear again)