332 search results for "boxplot"

Long-term precipitation data for your location from the US Historical Climatology Network using R

September 19, 2012
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Long-term precipitation data for your location from the US Historical Climatology Network using R

Abstract Long-term daily precipitation records from the US Historical Climatology Network (USHCN) are processed and summarized using R. Below is R code which examines the data from Livermore, CA, the closest available USHCN station to my present home ...

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Effective Graphs with R

September 13, 2012
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Effective Graphs with R

Today's guest post is by Naomi Robbins, author of the Effective Graphs blog — ed. I write a blog on effective graphs for Forbes. David Smith invited me to write a guest post here that was a roundup of some of my Forbes posts where R was used. My use of R graphics has ranged from simple box plots...

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omg lol brb txt l8r – Text Message Analysis, 2011-2012

September 3, 2012
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omg lol brb txt l8r – Text Message Analysis, 2011-2012

IntroductionI will confess, I don't really like texting. I communicate through text messages, because it does afford many conveniences, and occupies a sort of middle ground between actual conversation and email, but that doesn't mean that I like it. E...

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Virginia: Comparison of Registered Voter Counts to Census Voting Age Population

August 29, 2012
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Virginia: Comparison of Registered Voter Counts to Census Voting Age Population

By Earl F Glynn | Franklin Center A comparison of US Census voting age population data in Virginia to voter registration data shows only one locality, Surry County, with about 100% of the voting age population registered to vote. Six other localities have about 95% of their voting age population registered:  Craig County, Isle of

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Zzzzzz….. – Quantified Self Toronto #14

August 12, 2012
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Zzzzzz….. – Quantified Self Toronto #14

Sleep is another one of those things like diet, where I feel if you asked anyone if they wanted to improve that area of their life most would say yes.I remember hearing a quote that sleep is like sex; no one is quite sure how much everyone else is getting, but they are pretty sure it is more than...

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Learning R has really made me appreciate SAS

July 25, 2012
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For the past 18 months, it seems like all I’ve heard about in the digital marketing industry is “big data”, and with that, mentions of using Hadoop and R to solve these sorts of problems.  Why are these tools the … Continue reading →Learning R has really made me appreciate SAS is an article from randyzwitch.com,...

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Outer Product of Character Vectors in R

July 19, 2012
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Outer Product of Character Vectors in R

What follows is like a kata to strengthen your R fundamentals. The lovely stats in the wild recently posted some hott data analysis of Olympians’ ages and sexes. Because I’m annoyingly picky about graphics, I asked for his code so I could ...

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Using discrete-event simulation to simulate hospital processes

July 12, 2012
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Using discrete-event simulation to simulate hospital processes

Discrete-event simulation is a very useful tool when it comes to simulating alternative scenario’s for current of future business operations. Let’s take the following case; Patients of an outpatient diabetes clinic are complaining about long waiting times, this seems to have an adverse effect on patient satisfaction and patient retention.  Read more »

Graphical insights from the 2012 UseR! Meeting

About this time last month, I attended the 2012 UseR! Meeting.  Now an annual event, this series of conferences started in Europe in 2004 as an every-other-year gathering that now seems to alternate between the U.S. and Europe.  This year’s meeting was held on the VanderbiltUniversity campus in Nashville, TN, and it was attended by about 500 R aficionados,...

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The inner workings of R objects

June 29, 2012
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The inner workings of R objects

R is an object oriented language. You provide a name and R supplies that name with various properties. In the simplest case, you can assign a number to a name. This will only have a few attributes, such as its class, length etc: i <- 5 names(i) #NULL class(i) # "integer" attr(i, "name") #NULL dim(i)

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