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I work in an ecosystem that uses Outlook for e-mail. When I have to communicate results with collaborators one of the most frequent tasks I face is to take a tabular output in R (either a summary table or some sort of tabular output) and send it to collaborators in ... [Read more...]

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Abstract We use US Social Security Administration data to compute the probability of a name clash in a class of year-YYYY born kids during the years 1880-2014. This work is licensed under a Creative Commons Attribution-ShareAlike 4.0 International License. The markdown+Rknitr source code of this blog is available under a ... [Read more...]

One of the most popular posts on this blog has been my attempt to create Kaplan-Meier plots with an aligned table of persons-at-risk below it under the ggplot paradigm. That post was last updated 3 years ago. In the interim, Chris Dardis has built upon these attempts to create a much ... [Read more...]

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If you've lived in a big city, you're likely familiar with the impact of gentrification. For longtime residents of a neighbourhood, it can represent a decline in the culture and vibrancy of your community; for recent or prospective residents, it can represent a financial opportunity in rising home prices. For ... [Read more...]

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In what is now a roughly annual event, the forecast package has been updated on CRAN with a new version, this time 8.0. A few of the more important new features are described below. Check residuals A common task when building forecasting models is to c... [Read more...]

In what is now a roughly annual event, the forecast package has been updated on CRAN with a new version, this time 8.0. A few of the more important new features are described below. Check residuals A common task when building forecasting models is to check that the residuals satisfy some ... [Read more...]

In what is now a roughly annual event, the forecast package has been updated on CRAN with a new version, this time 8.0. A few of the more important new features are described below. Check residuals A common task when building forecasting models is to check that the residuals satisfy some ... [Read more...]

After you master the basics of R and ggplot2, you need to learn the little details. A great example of this is plot annotation. Adding little details like plot annotations help you communicate more clearly and "tell a story" with your plots. The post How to annotate a plot in ... [Read more...]

One of the most popular posts on this blog has been my attempt to create Kaplan-Meier plots with an aligned table of persons-at-risk below it under the ggplot paradigm. That post was last updated 3 years ago. In the interim, Chris Dardis has built upon... [Read more...]

I work in an ecosystem that uses Outlook for e-mail. When I have to communicate results with collaborators one of the most frequent tasks I face is to take a tabular output in R (either a summary table or some sort of tabular output) and send it to collaborators in ... [Read more...]

It’s the second time I write a post about the blog aggregator R-bloggers, probably because I’m all about R blogs now that I have one. My husband says my posts are so meta. My first post was about R blogs names, in this one I shall focus on ... [Read more...]

It’s the second time I write a post about the blog aggregator R-bloggers, probably because I’m all about R blogs now that I have one. My husband says my posts are so meta. My first post was about R blogs names, in this one I shall focus on ... [Read more...]

Make your R simulation models 20 times faster R can be frustratingly slow if you use its loops. However, you can speed it up significantly (e.g. 20 times!) using the Rcpp package. That could turn a day long simulation into an hour long simulation. I ... [Read more...]

ggedit is a package that lets users interactively edit ggplot layer and theme aesthetics. In a previous post we showed you how to use it in a collaborative workflow using standard R scripts. More importantly, we highlighted that ggedit outputs to the user, after editing, updated: gg plots, layers, scales ... [Read more...]

A graph, a collection of nodes connected by edges, is just data. Whether it's a social network (where nodes are people, and edges are friend relationships), or a decision tree (where nodes are branch criteria or values, and edges decisions), the nature of the graph is easily represented in a ... [Read more...]

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