Monthly Archives: October 2014

Short-cutting in RStudio

Well it’s Halloween again. A time to ponder about what scares us. I’ll go first. I get scared when I have an idea while coding, and I know that I won’t be able to finish actually typing the code out … Continue reading

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Comic Strip Statistics

I apologize in advance for the abbreviated nature of this post, but it’s Midterm Week 2 and I’m getting to the point where NA vectors look like they’re taunting me (na-na-na-na-na-na). A few weeks ago, I came across an interesting … Continue reading

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Hola, me llamo R

Homework was due soon and I was fighting with my completely entangled code: “Everything looks good” I repeated to myself a hundred times even though I was not getting the expected result,… “everything looked good indeed”. Learning the coding language … Continue reading

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An Unpredictable Part

As I clicked around the web, looking for data and predictions surrounding the world series currently underway, I found some interesting angles about analyzing data that I had not previously thought about. An article on fivethirtyeight.com (link below) discusses how … Continue reading

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P-hacking

In perfect timing for our Bayes discussion, one of our Senior Science Advisors at work sent along this article by Gelman and Loken (see here: http://www.americanscientist.org/issues/feature/2014/6/the-statistical-crisis-in-science/2) , questioning the value of statistically significant comparisons many of us researchers fall into … Continue reading

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Making predictions is hard!

This week’s Silver reading fits the current events a bit too eerily with its focus on disease epidemics and their past predictions.  I remember the 2009 swine flu fiasco.  We cut pork out of our diet for a few months, … Continue reading

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Get Your Flu Shot

With America fixated on the ebola panic as a result of insistent media coverage, much of America has forgotten about getting their flu shot. But this isn’t strange – according to the Center for Disease Control and Prevention (CDC), only … Continue reading

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Fibonacci: Our Personal Savior

In Homework 2 we peaked into the world of Fibonacci to create the Fibonacci sequence. I wanted to expand just a little on this to show how prevalent those numbers are in nature. I wrote my blog in R and … Continue reading

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R- Evolutionary relationships, non-independence and correlation…

In this blog entry, I would like to share my experience with R and data analysis. A few months back I developed a keen interest in the relatively recent development of NGS (Next Generation Sequencing) data analysis. Subsequently, I decided … Continue reading

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Reporting Uncertainty

In chapter 6, Silver discusses the reporting (or lack thereof) of uncertainty in prediction. He points out that failure to report uncertainty can have potentially catastrophic outcomes. For example, a weather service in North Dakota forecasted that after a snow-heavy … Continue reading

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