1859 search results for "ggplot2"

Health Care Costs – Part 3, "Why You Are Paying More"

July 19, 2012
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Health Care Costs – Part 3, "Why You Are Paying More"

Malpractice - A Booming Industry? Perhaps authors Frank Sloan, Randall Bovbjerg and Penny Githens capture it best from their book Insuring Medical Malpractice: "If aging Doctor Kildare were to return to medical practice today, having been...

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Time zones

July 18, 2012
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Time zones

Say we have some following raw data. It consists of a timestamp and a corresponding value. There is a peak at exactly midnight (00:00:00). Each timestamp is fully specified. It contains a date, a time of day, and a time zone offset indication. In this case +0000, meaning the data is 0 hours away the UTC timezone. "timestamp","value""25-04-2012...

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The R packages in a data scientist’s toolbox

July 17, 2012
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John Myles White, self-described "statistics hacker" and co-author of "Machine Learning for Hackers" was interviewed recently by The Setup. In the interview, he describes his some of his go-to R packages for data science: Most of my work involves programming, so programming languages and their libraries are the bulk of the software I use. I primarily program in R,...

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Map biodiversity records with rgbif and dismo packages in R

July 15, 2012
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Map biodiversity records with rgbif and dismo packages in R

In the earlier post we generated maps from GBIF biodiversity records using maps and ggplot2 packages. We used world map with country borders for that. Now we will generate maps with google maps as base layer using dismo package. Like earlier we download data for Danaus chrysippus from GBIF using occurrencelist function into a data

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Map biodiversity records with rgbif and dismo packages in R

July 15, 2012
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Map biodiversity records with rgbif and dismo packages in R

In the earlier post we generated maps from GBIF biodiversity records using maps and ggplot2 packages. We used world map with country borders for that. Now we will generate maps with google maps as base layer using dismo package. Like earlier we download data for Danaus chrysippus from GBIF using occurrencelist function into a data

Read more »

Linear programming in R: an lpSolveAPI example

July 14, 2012
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Linear programming in R: an lpSolveAPI example

First of all, a shout out to R-bloggers for adding my feed to their website! Linear programming is a valuable instrument when it comes to decision making. This post shows how R in conjunction with the lpSolveAPI package, can be used to build a linear programming model and to analyse  Read more »

Linear programming in R: an lpSolveAPI example

July 14, 2012
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Linear programming in R: an lpSolveAPI example

First of all, a shout out to R-bloggers for adding my feed to their website! Linear programming is a valuable instrument when it comes to decision making. This post shows how R in conjunction with the lpSolveAPI package, can be used to build a linear programming model and to analyse its results. The lpSolveAPI package provides a complete implementation of the lp_solve...

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Smartphone operating system share mosaic plot

July 13, 2012
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Smartphone operating system share mosaic plot

(This article was first published on Actuarially (Matt Malin), and kindly contributed to R-bloggers) Smartphone operating system share mosaic plot Author: Matt Malin The increasing dominance of smartphones across the market is a very common topic in technology and news sites, with analysis of operating system share and phone types often shown in the media. Stumbling across this article...

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Processing Public Data with R

July 13, 2012
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Processing Public Data with R

I use R aplenty in analysis and thought it might be worthwhile for some to see the typical process a relative newcomer goes through in extracting and analyzing public datasets In this instance I happen to be looking at Canadian air pollution statistics. The data I am interested in is available on the Ontario Ministry

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Using discrete-event simulation to simulate hospital processes

July 12, 2012
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Using discrete-event simulation to simulate hospital processes

Discrete-event simulation is a very useful tool when it comes to simulating alternative scenario’s for current of future business operations. Let’s take the following case; Patients of an outpatient diabetes clinic are complaining about long waiting times, this seems to have an adverse effect on patient satisfaction and patient retention.  Read more »