2840 search results for "ggplot2"

Roll Your Own Gist Comments Notifier in R

July 25, 2015
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As I was putting together the coord_proj ggplot2 extension I had posted a (https://gist.github.com/hrbrmstr/363e33f74e2972c93ca7) that I shared on Twitter. Said gist received a comment (several, in fact) and a bunch of us were painfully reminded of the fact that there is no built-in way to receive notifications from said comment activity. @jennybryan posited that it

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{Long Vs. Wide} Data Frames

July 24, 2015
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{Long Vs. Wide} Data Frames

Introduction This is an excellent resource to understand 2 types of data frame format: Long and Wide. Just take a look at figure 1 inside the article 1) Long format: ggplot2 needs in certain scenarios this kind of format to work (generally grouped...

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Why I use Panel/Multilevel Methods

July 24, 2015
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Why I use Panel/Multilevel Methods

I don’t understand why any researcher would choose not to use panel/multilevel methods on panel/hierarchical data. Let’s take the following linear regression as an example: , where is a random effect for the i-th group. A pooled OLS regression model for the above is unbiased and consistent. However, it will be inefficient, unless for all

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Why I use Panel/Multilevel Methods

July 24, 2015
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Why I use Panel/Multilevel Methods

I don’t understand why any researcher would choose not to use panel/multilevel methods on panel/hierarchical data. Let’s take the following linear regression as an example: , where is a random effect for the i-th group. A pooled OLS regression model for the above is unbiased and consistent. However, it will be inefficient, unless for all

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An alternative presentation of the ProPublica Surgeon Scorecard

July 23, 2015
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An alternative presentation of the ProPublica Surgeon Scorecard

ProPublica, an independent investigative journalism organisation, have published surgeon-level complications rates based on Medicare data. I have already highlighted problems with the reporting of the data: surgeons are described as having a “high adjusted rate of complications” if they fall in the red-zone, despite there being too little data to say whether this has happened

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Administrative Maps and Projections in R

July 23, 2015
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Administrative Maps and Projections in R

Today I will demonstrate how to create maps of “other countries”, and use map projections, with the choroplethr package in R. I write “other countries” in quotes because, like most things, translating a high level wish into software can be complicated. If you want to skip ahead and play with a web app that lets you explore The post

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Waterfall plots – what and how?

July 23, 2015
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Waterfall plots – what and how?

“Waterfall plots” are nowadays often used in oncology clinical trials for a graphical representation of the quantitative response of each subject to treatment. For an informative article explaining waterfall plots see Understanding Waterfall Plots. In this post, we illustrate the creation of waterfall plots in R. In a typical waterfall plot, the x-axis serves as

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Waterfall plots – what and how?

July 23, 2015
By
Waterfall plots – what and how?

“Waterfall plots” are nowadays often used in oncology clinical trials for a graphical representation of the quantitative response of each subject to treatment. For an informative article explaining waterfall plots see Understanding Waterfall Plots. In this post, we illustrate the creation of waterfall plots in R. In a typical waterfall plot, the x-axis serves as

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Count data: To Log or Not To Log

July 22, 2015
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Count data: To Log or Not To Log

Count data are widely collected in ecology, for example when one count the number of birds or the number of flowers. These data follow naturally a Poisson or negative binomial distribution and are therefore sometime tricky to fit with standard LMs. A traditional approach has been to log-transform such data and then fit LMs to

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Count data: To Log or Not To Log

July 22, 2015
By
Count data: To Log or Not To Log

Count data are widely collected in ecology, for example when one count the number of birds or the number of flowers. These data follow naturally a Poisson or negative binomial distribution and are therefore sometime tricky to fit with standard LMs. A traditional approach has been to log-transform such data and then fit LMs to

Read more »

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