Debugging parameter mismatch across RAC database instances with R, dba_hist, and gv$parameter

October 9, 2012
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Debugging parameter mismatch across RAC database instances with R, dba_hist, and gv$parameter

Did you find this post useful?  Does your organization need Oracle services?  We can help.   Much of this morning went into investigating strange ADDM reports on a two-node Oracle RAC database.  For some reason, there were statistically improbable differences…Read more ›

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Conditional Colors and Shapes in plot() with ifelse()

October 9, 2012
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Conditional Colors and Shapes in plot() with ifelse()

Here’s an example of how to color your plot shapes and pch using an ifelse() statement. Ifelse() is handy as it creates an easy way to branch a function. The syntax is: ifelse(logical.condition, option1, option2). Meaning, if the logical condi...

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What’s in My Pocket? Read it now! (or Read It Later)

October 9, 2012
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What’s in My Pocket? Read it now! (or Read It Later)

IntroductionYou know what's awesome? Pocket.I mean, sure, it's not the first. I think Instapaper existed a little before (perhaps). And there are alternatives, like Google Reader. But Pocket is still my favorite. It's pretty awesome at what it does.Pocket (or Read It Later, as it used to be known) has fundamentally changed the...

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New season of Grey’s Anatomy with Exponential Random Graph Models

October 8, 2012
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In a previous post we used the web of sexual contacts among characters on the Grey’s Anatomy television show to look at some social network analysis using R. To celebrate the beginning of the new season, Ben Lind has put … Continue reading →

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Laplace’s liberation army

October 8, 2012
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Laplace’s liberation army

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 geeky, nerdy, statistical sense) only comes...

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lubridate 1.2.0 now on CRAN

October 8, 2012
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lubridate 1.2.0 now on CRAN

The latest version of lubridate offers some powerful new features and huge speed improvements. Some areas, such as date parsing are more than 50 times faster. lubridate 1.2.0 also fixes those pesky NA bugs in 1.1.0. Here’s some of what you’ll find: Parsers can now handle a wider variety date formats, even within the same

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In case you missed it: September 2012 Roundup

October 8, 2012
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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, Intuit, Minted and other companies describe how R is...

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Another R + iButton script

October 8, 2012
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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 combined version of these scripts that downloads

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Product revenue prediction with R – part 2

October 8, 2012
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Product revenue prediction with R – part 2

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 summary parameters, the data

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Product revenue prediction with R – part 3

October 8, 2012
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Product revenue prediction with R – part 3

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 relationship between a

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Product revenue prediction with R – part 1

October 8, 2012
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Product revenue prediction with R – part 1

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 product added to the cart,

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Two ways that correlation and stepwise regression can give different results

October 8, 2012
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In general, a correlation test is used to test the association between two variables (y and z). However, if there is a third variable (x) that might be related to z or y, it makes...

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Summarizing Data

October 8, 2012
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Summarizing Data

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...

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Example 10.5: Convert a character-valued categorical variable to numeric

October 8, 2012
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Example 10.5: Convert a character-valued categorical variable to numeric

In some settings it may be necessary to recode a categorical variable with character values into a variable with numeric values. For example, the matching macro we discussed in example 7.35 will only match on numeric variables. One way to conve...

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DIY ZeroAccess GeoIP Analysis : So What?

October 8, 2012
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DIY ZeroAccess GeoIP Analysis : So What?

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 chance of getting the

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CrowdANALYTIX – Ideation Contest – Warranty Pricing

October 8, 2012
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I recently completed an ideation contest on CrowdANALYTIX where the participants had to build an approach towards warranty pricing and fraud detection.Ideation contests are quite different from the usual data mining contests where the objective is...

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Functions for plotting and getting Greek in labels

October 8, 2012
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Functions for plotting and getting Greek in labels

The problem: We often want to plot data and assign plot attributes based on characteristics of the data. For example, if we have a group of students with the following IQs, we might want to indicate who is an outlier in the statistical sense. I like...

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S&P 500 correlations up to date

October 8, 2012
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S&P 500 correlations up to date

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 of stocks among … Continue reading...

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GBIF biodiversity data from R – more functions

October 8, 2012
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GBIF biodiversity data from R – more functions

We have been working on an R package to get GBIF data from R, with the stable version available through CRAN here, and the development version available on GitHub here. We had a Google Summer of code stuent work on the package this summer - you can se...

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Presidential Candidate Sentiment Analysis

October 7, 2012
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Presidential Candidate Sentiment Analysis

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. This project turned out to

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SPIDER makes the top 10 barcoding publications of 2012

October 7, 2012
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SPIDER makes the top 10 barcoding publications of 2012

In the recent Barcode Bulletin published by iBoL, our humble paper announcing the R package spider: Species identity and evolution made second on their list of the top 10 publications of 2012. Not bad for a side project! Spider is available for downl...

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Splitting and Combining R pdf Graphics

October 7, 2012
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Splitting and Combining R pdf Graphics

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 →

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Sample Input Data.

October 7, 2012
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Sample Input Data.

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

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More Fun With Modis

October 7, 2012
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More Fun With Modis

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 going.  I have an inventory of around

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Zurich, Sep 2012 – Portfolio Selection

October 7, 2012
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(This article was first published on Rmetrics blogs, and kindly contributed to R-bloggers) To leave a comment for the author, please follow the link and comment on their blog: Rmetrics blogs. R-bloggers.com offers daily e-mail updates about R news and tutorials on topics such as: Data science, Big Data, R jobs, visualization (ggplot2, Boxplots, maps, animation), programming (RStudio, Sweave,...

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Cyber Summit 2012: a bit of big data and a lot of small tweets

October 7, 2012
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Cyber Summit 2012: a bit of big data and a lot of small tweets

Last week (October 1-3) MPK Analytics attended the annual Cyber Summit in Banff. The theme for this year was; “Leading the Way in the Age of Big Data“. As might

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Fit and Visualize A MARS Model

October 7, 2012
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Fit and Visualize A MARS Model

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Weekend Reading – Facebook’s P/E ratio

October 7, 2012
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Weekend Reading – Facebook’s P/E ratio

The Barron’s article Still Too Pricey by Andrew Bary looks at the share price of the Facebook and based on the P/E ration valuation metrics concludes that even at the current prices, stock is overvalued. I want to show how to do this type of fundamental analysis using the Systematic Investor Toolbox. First let’s load

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Keeping track of my calories the R way

Keeping track of my calories the R way

So...I'm back with Your Shape: Fitness Evolved 2012 for XBox Kinect. Why? Because I want to loose some weight and get back in shape of course -;)The reason I stop playing the game is simple...I'm lazy...but this time, I have come back with a goal...bur...

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