Rounding off our reports on major new developments in SAS 9.3, today we'll talk about proc mcmc and the random statement.Stand-alone packages for fitting very general Bayesian models using Markov chain Monte Carlo (MCMC) methods have been available for...
This blog following up my previous oneattempts to explain how the geo-pie map was created. I do not know how to attach a .rflow file in this blog. What you can do is to copy the following code into Notepad … Continue reading →
In this post I will show one way to display explained variance using a line chart. There is no default plot for displaying the effect of each factor on deviance of the model, so this is a tentative proposal for my dissertation. The following values were obtained using multilevel models performed in R (thanks for
At the Oracle OpenWorld conference in San Francisco today, Oracle announced the new Oracle Big Data Appliance, "a new engineered system that includes an open source distribution of Apache™ Hadoop™, Oracle NoSQL Database, Oracle Data Integrator Application Adapter for Hadoop, Oracle Loader for Hadoop, and an open source distribution of R." Oracle's foray into the Hadoop and NoSQL spaces...
Today’s market of climbing ropes offers a huge variety of models to choose from. If you don’t have a good idea of what you want, the task of selecting a rope can become a true challenge, or worst, almost a … Continue reading →
This Article is also available in EN, ES.
In financial context, is suppose to reflect the relation between a stock and the general market. A broad based index such as the S&P 500 is often taken as proxy for the general market. The , without getting into too … Continue reading →
I've added a twitter search widget that searches for the #rgraphgallery hashtag or the url of the gallery on the front page.
How much predictability is there for these higher moments? Data The data consist of daily returns from the start of 2007 through mid 2011 for almost all of the S&P 500 constituents. Estimates were made over each half year of data. Hence there are 8 pairs of estimates where one estimate immediately follows the other. … Continue reading...
Generically, error rate of predicting binary variable by a certain model becomes plateau increasing sample size. When the model fits training data , the error rate gains from 0 to true error. And when the model fits test data, the error rate decreases ...
Zero Inflated Models and Generalized Linear Mixed Models with R.
Zuur, Saveliev, Ieno (2012).
