324 search results for "boxplot"

rCharts with slidy

March 3, 2014
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My last post I talked about using rCharts to create interactive graphics for my interview presentations. They seemed to go over pretty well in my interviews and helped me greatly as I did not need to remember or write down specific numbers to talk about. I use slidy to create my HTML slideshows and there was some...

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Oldies but Goldies: Statistical Graphics Books

March 1, 2014
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Oldies but Goldies: Statistical Graphics Books

I just wanted to plug for three classical books on statistical graphics that I really enjoyed reading. The books are old (that is, older than me) but still relevant and together they give a sense of the development of exploratory graphics in general and the graphics system in R specifically as all three books were written at Bell Labs...

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Bayesian First Aid: Two Sample t-test

February 24, 2014
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Bayesian First Aid: Two Sample t-test

As spring follows winter once more here down in southern Sweden, the two sample t-test follows the one sample t-test. This is a continuation of the Bayesian First Aid alternative to the one sample t-test where I’ll introduce the two sample alternative. It will be a quite short post as the two sample alternative is just more of...

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Quick and dirty notes on General Linear Mix Models

February 24, 2014
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Quick and dirty notes on General Linear Mix Models

My datasets tend to have random factors. I try to stick to general models whenever I can to avoid dealing with both random factors and complex error distributions (not always possible). I am compiling some notes here to avoid visiting … Continue reading →

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ggplot2: Cheatsheet for Visualizing Distributions

February 18, 2014
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ggplot2: Cheatsheet for Visualizing Distributions

In the third and last of the ggplot series, this post will go over interesting ways to visualize the distribution of your data.

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Conditioning and Grouping with Lattice Graphics

February 17, 2014
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Conditioning and Grouping with Lattice Graphics

Conditioning and grouping are two important concepts in graphing that allow us to rapidly refine our understanding of data under consideration. Conditioning, in particular, allows us to view relationships across “panels” with common scales. Each panel contains a plot whose data is “conditional” upon records drawn from the category that supports that particular panel (an

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Conditioning and Grouping with Lattice Graphics

February 17, 2014
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Conditioning and Grouping with Lattice Graphics

Conditioning and grouping are two important concepts in graphing that allow us to rapidly refine our understanding of data under consideration. Conditioning, in particular, allows us to view relationships across “panels” with common scales. Each panel contains a plot whose data is “conditional” upon records drawn from the category that supports that particular panel (an

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Bayesian First Aid: One Sample and Paired Samples t-test

February 4, 2014
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Bayesian First Aid: One Sample and Paired Samples t-test

Student’s t-test is a staple of statistical analysis. A quick search on Google Scholar for “t-test” results in 170,000 hits in 2013 alone. In comparison, “Bayesian” gives 130,000 hits while “box plot” results in only 12,500 hits. To be honest, if I had to choose I would most of the time prefer a notched boxplot to...

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Box plots. Like box plots, only…box plots.

February 2, 2014
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Box plots. Like box plots, only…box plots.

On a rare, brief holiday (here and here, if you’re interested; both highly-recommended), I make the mistake of checking my Twitter feed: paging @neilfws . . . RT @psudmant: Ground breaking new methods from @naturemethods – boxplots – no rly nature.com/nmeth/journal/…— Chris Miller (@chrisamiller) January 30, 2014 This points me to BoxPlotR. It draws box

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New in forecast 5.0

January 26, 2014
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New in forecast 5.0

Last week, version 5.0 of the forecast package for R was released. There are a few new functions and changes made to the package, which is why I increased the version number to 5.0. Thanks to Earo Wang for helping with this new version. Handling missing values and outliers Data cleaning is often the first step that data scientists...

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