3097 search results for "Ggplot"

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
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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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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 »

Using the new ‘viridis’ colormap in R (thanks to Simon Garnier)

July 20, 2015
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Using the new ‘viridis’ colormap in R (thanks to Simon Garnier)

Nathaniel Smith and Stéfan van der Walt presented a new colormap (for Python) at SciPy 2015 called viridis. From the authors: The default colourmap in Matplotlib is the colourful rainbow-map called Jet, which is deficient in many ways: small changes in the data sometimes produce large perceptual differences and vice-versa; its lightness gradient is

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R 101 – Aggregate By Quarter

July 14, 2015
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R 101 – Aggregate By Quarter

We were asked a question on how to (in R) aggregate quarterly data from what I believe was a daily time series. This is a pretty common task and there are many ways to do this in R, but we’ll focus on one method using the zoo and dplyr packages. Let’t get those imports out of the way: library(dplyr) library(zoo) library(ggplot2) Now, we need...

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Spark 1.4 for RStudio

July 14, 2015
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Spark 1.4 for RStudio

Today’s guest post is written by Vincent Warmerdam of GoDataDriven and is reposted with Vincent’s permission from blog.godatadriven.com. You can learn more about how to use SparkR with RStudio at the 2015 EARL Conference in Boston November 2-4, where Vincent will be speaking live. This document contains a tutorial on how to provision a spark

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Scatter Plots with Marginal Densities – An Example for Doing Exploratory Data Analysis with Tableau and R

July 13, 2015
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Scatter Plots with Marginal Densities – An Example for Doing Exploratory Data Analysis with Tableau and R

Introduction One of the first stages in most data analysis projects is about exploring the data at hand. During this stage the analyst tries to get familiar with his dataset by looking at summary statistics, feature distributions and relationships be...

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