Monthly Archives: February 2010

Visualize dynamic data from R in 3d

February 17, 2010
By

In this video i demonstrate a nice feature of Bio7 to visualize 3d data created in “R” dynamically. The data for the points is generated in “R” and then transferred to the OpenGL view of Bio7. In the first example a random plot is generated and updated. In the second example 10000 random (lighted) spheres

Read more »

Generalized linear mixed effect model problem

February 16, 2010
By
Generalized linear mixed effect model problem

I am trying to compare cohort difference in infant mortality using generalized linear mixed model. I first estimated the model in Stata:xi:xtlogit inftmort i.cohort, i(code)which converged nicely:Fitting comparison model:Iteration 0:   log likelih...

Read more »

How to make a mosaic plot in R

February 16, 2010
By
How to make a mosaic plot in R

Mosaic plots (aka treemaps) are a great way to visualize hierarchical data. A collection of rectangles represents all the elements to be visualized (customers, news items, blog posts), with the size and color of the rectangles coding attribute. But what makes this chart unique is the arrangement of the elements: where there is hierarchy (customer segments, news topics, post...

Read more »

You can Hadoop it! It’s elastic! Boogie woogie woog-ie!

February 16, 2010
By
You can Hadoop it! It’s elastic! Boogie woogie woog-ie!

I just came back from the future and let me be the first to tell you this: Learn some Chinese. And more than just cào nǐ niáng (肏你娘) which your friend in grad school told you means “Live happy with many blessings”. Trust me, I’ve been hanging with Madam Wu and she told me

Read more »

For fun: Correlation of US State with the number of clicks on online banners

February 16, 2010
By
For fun: Correlation of US State with the number of clicks on online banners

“Chitika research” published today a fun small dataset (you can download it from here) in a post titled “The Educated are Harder to Advertise To”. In this post I had three goals in mind: Suggesting another plot instead of the one used in the original post. Emphasizing the “Correlation does not imply causation” rule. Inviting other R lovers (as myself) to find fun...

Read more »

A Case Study in Optimising Code in R

February 16, 2010
By
A Case Study in Optimising Code in R

This post presents an experience I had optimising the efficiency of code for a data analysis task in R. I'm not an expert in programming nor code optimisation. However, I thought my experience might make an interesting case study for others at a simila...

Read more »

Sugar price seasonality

February 16, 2010
By
Sugar price seasonality

Recently, Orion securities have issued a “BUY” recomendation for Cugar ETF. Because, neither I follow the recommendations nor I’m big fan of TA (I have to admit, that I was…), I decided to check sugar price seasonality. Voila, the mean of monthly returns are presented in the graph. February, April and May tend to be negative

Read more »

R Web Application – “Hello World” using RApache (~7min video tutorial)

February 16, 2010
By

I just noticed a google buzz from Jeroen ooms, with a Youtube video titled “RApache Hello World + POST arguments + catching errors.” In this ~7 min video tutorial, Jeroen shares with us: How to write ”Hello World” in a website using RApache. How to extract arguments from a form submited by the website visitor (and then inserting it into an “rnorm” function...

Read more »

Using Google Reader

February 15, 2010
By
Using Google Reader

Google Reader is a fantastic way to keep track of new papers that are appearing in many different journals, and also to follow some of the interesting research blogs (and blogs on other topics) that are out there. Google Reader checks websites for you and lets you know of any new material that appears. Instead of

Read more »

Genetic Algorithm Systematic Trading Development — Part 1

February 15, 2010
By
Genetic Algorithm Systematic Trading Development — Part 1

I want to start with a brief introduction to what I consider one of the most powerful learning methodologies to come out of Artificial Intelligence in the last several decades-- the Genetic Algorithm. Although it was originally developed to model evol...

Read more »

Sponsors

Mango solutions



plotly webpage

dominolab webpage



Zero Inflated Models and Generalized Linear Mixed Models with R

Quantide: statistical consulting and training

datasociety

http://www.eoda.de





ODSC

ODSC

CRC R books series





Six Sigma Online Training









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)