# 450 search results for "boxplot"

## Oldies but Goldies: Statistical Graphics Books

March 1, 2014
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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...

## Bayesian First Aid: Two Sample t-test

February 24, 2014
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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...

## Quick and dirty notes on General Linear Mix Models

February 24, 2014
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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 →

## ggplot2: Cheatsheet for Visualizing Distributions

February 18, 2014
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In the third and last of the ggplot series, this post will go over interesting ways to visualize the distribution of your data.

## Conditioning and Grouping with Lattice Graphics

February 17, 2014
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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

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

February 4, 2014
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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...

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

February 2, 2014
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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

## New in forecast 5.0

January 26, 2014
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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...

## ggplot2 in Python: A major barrier broken

January 20, 2014
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I have been working with Python recently and I have to say, I love it. There’s a learning curve, of course, which has been frustrating. However, once I got comfortable with it (and continue to do so), I found that … Continue reading →

## Visualization Series: Using Scatterplots and Models to Understand the Diamond Market (so You Don’t Get Ripped Off)

January 19, 2014
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My last post railed against the bad visualizations that people often use to plot quantitive data by groups, and pitted pie charts, bar charts and dot plots against each other for two visualization tasks.  Dot plots came out on top. … Continue reading →