October 2012

Laplace’s liberation army

October 8, 2012 | Gianluca Baio

Great as it is, Google does not always give the "best", or "right" (ie "most appropriate") results on a given search. For example, if you google "jags" (using google.co.uk), the first results are a girls' independent school and a sports club. The real JAGS (OK: real in a ... [Read more...]

In case you missed it: September 2012 Roundup

October 8, 2012 | David Smith

In case you missed them, here are some articles from September of particular interest to R users. You can now browse the R-devel sources and changelogs at GitHub. R is used to create a 3-D animation of the Antarctic ice cap. At the DataWeek SF conference, R users from eBay, ... [Read more...]

Another R + iButton script

October 8, 2012 | Luke Miller

Previously I’ve detailed R scripts that automate the launching and downloading Maxim iButton thermochron data loggers. I’m typically doing the launching and downloading at separate times in my workflow, since I have duplicate iButtons to swap out, so separate scripts work for me. Ryan Knowles recently contributed a ... [Read more...]

Product revenue prediction with R – part 2

October 8, 2012 | Vignesh Prajapati

After development of predictive model for transactional product revenue -(Product revenue prediction with R – part 1), we can further improvise the model prediction by modifications in the model. In this post, we will see what are the steps required for model improvement. With the help of a set of model ... [Read more...]

Product revenue prediction with R – part 3

October 8, 2012 | Vignesh Prajapati

After development and improvement  of predictive model with R (as in the previous blog), I have focused here about making a prediction with the R model ( linear regression model ) and comparison with the Google prediction API model. In statistical modeling, R will calculate intercept and variable coefficients to describe the ... [Read more...]

Product revenue prediction with R – part 1

October 8, 2012 | Vignesh Prajapati

In my upcoming three blogs, I am going to discuss about how Product managers, Data analyst and Data scientists can develop model for the prediction of the transactional product revenue on the basis of user actions like total numbers of time product added to the cart, total numbers of time ... [Read more...]

Summarizing Data

October 8, 2012 | Slawa Rokicki

In this post, I'll go over four functions that you can use to nicely summarize your data.  Before any regression analysis, a descriptive analysis is key to understanding your variables and the relationships between them.  Next week, I'll have... [Read more...]

DIY ZeroAccess GeoIP Analysis : So What?

October 8, 2012 | hrbrmstr

NOTE: A great deal of this post comes from @jayjacobs as he took a conversation we were having about thoughts on ways to look at the data and just ran like the Flash with it. Did you know that – if you’re a US citizen – you have approximately a 1 in 5 ...
[Read more...]

S&P 500 correlations up to date

October 8, 2012 | Pat

I haven’t heard much about correlation lately.  I was curious about what it’s been doing. Data The dataset is daily log returns on 464 large cap US stocks from the start of 2006 to 2012 October 5. The sector data were taken from Wikipedia. The correlation calculated here is the mean correlation ... [Read more...]

Presidential Candidate Sentiment Analysis

October 7, 2012 | stathack

After watching the Presidential debates and hearing all the opinions on how the candidates performed, I got the hair brained idea of creating a simple function that would do automate the pulling down of tweets for each candidate, analyze the positivity or negativity of tweets, and then graph them out. ... [Read more...]

Splitting and Combining R pdf Graphics

October 7, 2012 | tylerrinker

A question that often comes across various help lists is how to combine or split an output from an R graphics device. Maybe you have looped/combined multiple visuals into a single pdf to avoid cluttering your working directory and now … Continue reading → [Read more...]

Sample Input Data.

October 7, 2012 | Steven Mosher

Just a couple quick examples. Starting with   30 meter impervious surface Followed by MODIS Land cover  ( “red” is urban ) And finally Day  LST   Google earth [Read more...]

More Fun With Modis

October 7, 2012 | Steven Mosher

I’ve started a tutorial on using the MODIS package in R the first few steps are here.  While I wait on a release of the package I thought I would play around a bit with the MRT tool and see how it worked.  Let’s recall where we are ... [Read more...]
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