434 search results for "boxplot"

Labeled outliers in R boxplot

Labeled outliers in R boxplot

Boxplots are a good way to get some insight in your data, and while R provides a fine ‘boxplot’ function, it doesn’t label the outliers in the graph. However, with a little code you can add labels yourself:The numbers plotted next to ...

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Gotta catch them all

August 21, 2016
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Gotta catch them all

Introduction When data becomes high-dimensional, the inherent relational structure between the variables can sometimes become unclear or indistinct. One, might want to find clusters for numerous amounts of reasons - me, I want to use it to better unde...

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Does sentiment analysis work? A tidy analysis of Yelp reviews

July 21, 2016
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Does sentiment analysis work? A tidy analysis of Yelp reviews

This year Julia Silge and I released the tidytext package for text mining using tidy tools such as dplyr, tidyr, ggplot2 and broom. One of the canonical examples of tidy text mining this package makes possible is sentiment analysis. Sentiment analysis is often used by companies to quantify general social media opinion (for...

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Monte Carlo Analysis of Manning’s Equation: A Shiny App

July 20, 2016
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Monte Carlo Analysis of Manning’s Equation:  A Shiny App

Monte Carlo analysis is a great way to explore the impact of input variable uncertainty on the results of engineering equations, and with vector variables and distribution and sampling functions at its core, R is a natural platform for this analysis. During a recent rainy vacation, I built a Shiny app that applies...

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Escalating Life Expectancy

July 18, 2016
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Escalating Life Expectancy

I’ve added mortality data to the lifespan package. A result that immediately emerges from these data is that average life expectancy is steadily climbing. The effect is more pronounced for men, rising from around 66.5 in 1994 to 70.0 in 2014. The corresponding values for women are 74.6 and 76.5 respectively. Good news for everyone.

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Birth Month by Gender

July 16, 2016
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Birth Month by Gender

Based on some feedback to a previous post I normalised the birth counts by the (average) number of days in each month. As pointed out by a reader, the results indicate a gradual increase in the number of conceptions during (northern hemisphere) Autumn and Winter, roughly up to the end of December. Normalising the data

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Most Probable Birth Month

July 14, 2016
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Most Probable Birth Month

In a previous post I showed that the data from www.baseball-reference.com support Malcolm Gladwell’s contention that more professional baseball players are born in August than any other month. Although this might be explained by the 31 July cutoff for admission to baseball leagues, it was suggested that it could also be linked to a larger

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useR! 2016 Tutorials: Part 2

July 7, 2016
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useR! 2016 Tutorials: Part 2

by Joseph Rickert Last week, I mentioned a few of the useR tutorials that I had the opportunity to attend. Here are the links to the slides and code for all but two of the tutorials: Regression Modeling Strategies and the rms Package - Frank Harrell Using Git and GitHub with R, RStudio, and R Markdown - Jennifer Bryan...

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The ggthemr package – Theme and colour your ggplot figures

July 4, 2016
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The ggthemr package – Theme and colour your ggplot figures

Want better colours for ggplot2? "Ggthemr" is an R package that provides new colour themes and also the specification of your own colour palettes. Change the look and feel of your ggplot2 plots in R with two quick commands! Beautiful figures await!

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R for Publication by Page Piccinini: Lesson 6, Part 1 – Linear Mixed Effects Models

June 26, 2016
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R for Publication by Page Piccinini: Lesson 6, Part 1 – Linear Mixed Effects Models

In today’s lesson we’ll learn about linear mixed effects models (LMEM), which give us the power to account for multiple types of effects in a single model. This is Part 1 of a two part lesson. I’ll be taking for granted some of the set-up steps from Lesson 1, so if you haven’t done that Lesson 6, Part...

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