2717 search results for "ggplot2"

JSON serialization now even faster and prettier

April 12, 2015
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JSON serialization now even faster and prettier

The jsonlite package implements a robust, high performance JSON parser and generator for R, optimized for statistical data and the web. This week version 0.9.16 appeared on CRAN which has a new prettifying system, improved performance and some additional tweaks for the new mongolite package. Improved Performance Everyones favorite feature of jsonlite: performance....

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A Couple of Handy ggplot Tricks – Using Environmental Variables and Saving Charts

April 12, 2015
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A Couple of Handy ggplot Tricks – Using Environmental Variables and Saving Charts

A couple of handy tricks when working with ggplot that had escaped my radar until today. First up, I had a problem in a function I was using to generate a ggplot2 in which I wanted to accept a couple of optional arguments in to the function and then make use of them in a

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Cefamandole: PK after IV with six subjects in JAGS

April 12, 2015
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Cefamandole: PK after IV with six subjects in JAGS

After last week's post on Theoph I noticed the MEMSS library contained more PK data sets. The Cefamandole data is an IV data set with six subjects. It is somewhat challenging, since there seem to be several elimination rates.DataData are displayed...

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R User Group Recap: Heatmaps and Using the caret Package

April 10, 2015
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R User Group Recap: Heatmaps and Using the caret Package

At our most recent R user group meeting we were delighted to have presentations from Mark Lawson and Steve Hoang, both bioinformaticians at Hemoshear. All of the code used in both demos is in our Meetup’s GitHub repo.Making heatmaps in RSteve started with an overview of making heatmaps in R. Using the iris dataset, Steve demonstrated...

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Recreating the vaccination heatmaps in R

April 9, 2015
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Recreating the vaccination heatmaps in R

In February the WSJ graphics team put together a series of interactive visualisations on the impact of vaccination that blew up on twitter and facebook, and were roundly lauded as great-looking and effective dataviz. Some of these had enough data available to look … Continue reading →

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Recreating the vaccination heatmaps in R

April 9, 2015
By
Recreating the vaccination heatmaps in R

In February the WSJ graphics team put together a series of interactive visualisations on the impact of vaccination that blew up on twitter and facebook, and were roundly lauded as great-looking and effective dataviz. Some of these had enough data available to look … Continue reading →

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Monitoring Price Fluctuations of Book Trade-In Values on Amazon

April 8, 2015
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Monitoring Price Fluctuations of Book Trade-In Values on Amazon

I am planning to finish school soon and I would like to shed some weight before moving on. I have collected a fair number of books that I will likely never use again and it would be nice to get some money for them. Sites like Amazon and eBay let you se...

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Six Ways You Can Make Beautiful Graphs (Like Your Favorite Journalists)

April 8, 2015
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Six Ways You Can Make Beautiful Graphs (Like Your Favorite Journalists)

This post shows how to make graphs like The Economist, New York Times, Vox, 538, Pew, and Quartz. And you can share–embed your beautiful, interactive graphs in apps, blog posts, and web sites. Read on to learn how. If you like interactive graphs and need to securely collaborate with your team, contact us about Plotly Enterprise.

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Part 4a: Modelling – predicting the amount of rain

April 6, 2015
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Part 4a: Modelling – predicting the amount of rain

In the fourth and last part of this series, we will build several predictive models and evaluate their accuracies. In Part 4a, our dependent value will be continuous, and we will be predicting the daily amount of rain. Then, in Part 4b, we will deal with the case of a binary outcome, which means we will assign probabilities to...

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Cohort Analysis and LifeCycle Grids mixed segmentation with R

Cohort Analysis and LifeCycle Grids mixed segmentation with R

This is the third post about LifeCycle Grids. You can find the first post about the sense of LifeCycle Grids and A-Z process for creating and visualizing with R programming language here. Lastly, here is the second post about adding monetary metrics (customer lifetime value – CLV – and customer acquisition cost – CAC) to... Read More »

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