Monthly Archives: November 2012

Connecting R to an Oracle database with RJDBC

November 22, 2012
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In many circumstances, you might want to connect R directly to a database to store and retrieve data.  If the source database is an Oracle database, you have a number of options: ROracle RODBC RJDBC   Using ROracle should theoretically… Read more ›

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Controlling heatmap colors with ggplot2

November 22, 2012
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Controlling heatmap colors with ggplot2

One of the most popular posts on this blog is the very first one, solving the issue of mapping certain ranges of values to particular colors in heatmaps. Given the abundance of ggplot2 usage in R plotting, I thought I’d … Continue reading →

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Happy Thanksgiving from is.R()!

November 22, 2012
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Happy Thanksgiving from is.R()!

Today’s post is mostly to wish everyone a Happy Thanksgiving. We will be taking the rest of the week off, and will return on Monday.Β Below is some code to reproduce the adorable Turkey above; enjoy! https://gist.github.com/4122464

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Extending Commodity time series

November 21, 2012
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Extending Commodity time series

I want to follow up with Extending Gold time series post by showing how we can extend Commodity time series. Most Commodity ETFs began trading in 2006, please see the List of Commodity ETFs page. I will use DBC – PowerShares DB Commodity Fund, one on the most liquid Commodity ETFs as my proxy for

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What’s the difference between POSIXct and POSIXlt?

November 21, 2012
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POSIXct is the signed number of seconds since “the epoch”. For example it was 1351298112 UTC (GMT) when I wrote this. (1351298112 UTC = Sat Oct 27, 2:35 am GMT = Fri Oct 26, 8:35 pm EST = Fri Oct 26, 5:35 pm PST = 2:35 pm HST) POSIXlt is one of many text | character | string formats such as: May 17, 2017 17/5/2017 17-5-17 05:24:39

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Data types, part 3: Factors!

November 21, 2012
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Data types, part 3: Factors!

In this third part of the data types series, I'll go an important class that I skipped over so far: factors.Factors are categorical variables that are super useful in summary statistics, plots, and regressions. They basically act like dummy variables t...

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Upcoming Webinar: Real-time, big-data analytics

November 21, 2012
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A quick heads-up that I'll be presenting another brand-new webinar on Thursday next week (November 29). In Real-time Big Data Analytics: From Deployment to Production, I'll review the process of making predictive models work in real-live operational environments. I'll also tackle those ubiquitous buzz-words "real-time" and "big data", and the fact that they can mean very different things in...

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IPython vs RStudio+knitr

November 21, 2012
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IPython vs RStudio+knitr

At a meeting last night with some collaborators at the Vélobstacles project, I was excitedly told about the magic of IPython and it’s notebook functionality for reproducible research. This sounds familiar, I thought to myself. Using a literate programming approach to integrate computation with the communication of methodology and results has been at the core

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Representing density in two dimensions

November 21, 2012
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Representing density in two dimensions

I’ll be subbing today for Chris, as we continue to explore some ggplot2 basics. Today, imagine that you have data distributed in two dimensions, and that you would like to convey differences in point density over space. As with many things, this...

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Creating an R package in Windows

November 21, 2012
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Creating an R package in Windows

A nice package can be both beautiful and functional. The image is CC by MIAD Communication Design. Inspired by Read more »

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