The tint package, whose name stands for Tint Is Not Tufte , on CRAN offers a fresh take on the excellent Tufte-style for html and pdf presentations. It marks a milestone for me: I finally have a repository with more "stars" than commits. Gotta keep an eye on the big prize... ... [Read more...]

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Abstract The rwml-R Github repo is updated with R code to accompany Chapter 3 of the book “Real-World Machine Learning” by Henrik Brink, Joseph W. Richards, and Mark Fetherolf. Survivors on the Titanic The Titanic Passengers dataset is used to i... [Read more...]

In this post we’ll create some simple functions to generate and chart a Receiver Operator (ROC) curve and visualize it using Plotly. See Carson’s plotly book for more details around changes in syntax. We’ll do this from a credit risk perspective i.e. validating a bank’s ... [Read more...]

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As a testament to my obsession with progress bars in R, here is a quick investigation about the overhead cost of drawing a progress bar during computations in R. I compared several approaches including my pbapply and Hadley Wickham’s plyr. [Read more...]

anytime arrived on CRAN with releases 0.0.1 and 0.0.2 about a month ago. anytime aims to convert anything in integer, numeric, character, factor, ordered, ... format to POSIXct (or Date) objects. Release 0.0.3 brings a bugfix for Windows (where for d... [Read more...]

In this post, I will talk about the ifelse function, which behaviour can be easily misunderstood, as pointed out in my latest question on SO. I will try to show how it can be used, and misued. We will also check if it is as fast as we could expect ... [Read more...]

Converting mouse gene names to the human equivalent and vice versa is not always as straightforward as it seems, so I wrote a function to simplify the task. The function takes advantage of the getLDS() function from the biomaRt to get the hgnc symbol equivalent from the mgi symbol. [Read more...]

[This article was first published on Johan Larsson - R, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share your [Read more...]

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The apply() functions in R are a utilization of the Split-Apply-Combine strategy for Data Analysis, and are a faster alternative to writing loops. The sapply() function applies a function to individual values of a dataframe, and simplifies the output. Structure of the sapply() function: sapply(data, function, ...) The dataframe used ... [Read more...]

In this busy election season (here in the US, at least), we're seeing a lot of maps. Some states are red, some states are blue. But there's a problem: voters are not evenly distributed throughout the United States. In this map (the firethirtyeight.com US election forecast on October 13) Montana (... [Read more...]

Good news, everyone! “smooth” package is now available on CRAN. And it is time to look into what this package can do and why it is needed at all. The package itself contains some documentation that you can use as a starting point. For example, there are vignettes, which show ... [Read more...]

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Exciting experimental API to access New Zealand official statistics Statistics New Zealand have released an exciting experiment in accessing data in JSON format over the web via an application programming interface (API). It looks to be time series da... [Read more...]

I recently had the opportunity to listen to some great minds in the area of high-frequency data and trading. While I won’t go into the details about what has been said, I wanted to illustrate the importance of proper out-of-sample testing and proper variable lags in potential trade algorithms ... [Read more...]

Over the past couple months there have been datavizs showing global average temp trends. They have gotten a lot of media attention, so I got to see examples fairly regularly. Several of them (e.g., 1 and 2) used the same HadCRUT global temperature a... [Read more...]

by Andy Nicholls When speaking with clients and other R users at events such as LondonR and EARL I’ve noticed an increasing trend in people looking to learn some python as the next step in their data science journey.  At … Continue reading → [Read more...]