.fusion-fullwidth-1 { padding-left: px !important; padding-right: px !important; }by Sean Lopp The RStudio IDE reached version 1.0 this month. The IDE has come a long way s... [Read more...]

I'm excited to have contributed to this important (IMHO) interoperability paper around metabolomics data: "SPLASH, a hashed identifier for mass spectra" (doi:10.1038/nbt.3689, readcube:msZj). A huge thanks to all involved in the great collaborative project! The source code project is fully open source and coordinated by Gert Wolgemuth, the ... [Read more...]

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When estimating a model, the quality of the model fit will always be higher in-sample than out-of-sample. A model will always fit the data that it is trained on, warts and all, and may use those warts and statistical noise to make predictions. As a result, a model that performs ... [Read more...]

My adopted home state of Utah has been a weird place this election cycle. For the unfamiliar, Utah is extremely conservative when it comes to politics; it is one of the reddest of the red states and has backed the Republican candidate for president for... [Read more...]

Descriptive Analytics is the examination of data or content, usually manually performed, to answer the question “What happened?”. In order to be able to solve this set of exercises you should have solved the part 0 and’part 1 , and part 2 of this series but also you should run this script which ... [Read more...]

ggloop is an R package which creates multiple ggplot2 plots with a single function call. The main function, ggloop(), accepts vectors of aesthetics via aes_loop(), which allows ggloop() to generate multiple plots. To read more about this package (which is available on CRAN), you can check out the package ... [Read more...]

Why optim() is out of date And perhaps you should be careful using it Once upon a time Once upon a time, there was a young Oxford D.Phil. graduate with a thesis on quantum mechanics who — by virtue of a mixup in identities — got hired as an Agricultural Economist. ... [Read more...]

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This animation of AirBnB host locations from 2011-2014, presented by Ricardo Bion (data scientist manager at AirBnb) at the EARL Boston conference earlier this week, shows the dramatic growth in properties to rent through the service along with the most common routes of travellers. (You can find the R code ... [Read more...]

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Many times, while doing Statistical analysis, we have to evaluate the descriptive statistics like mean, standard deviation and so on for a number of variables, group-wise. Most of the Statistical packages like SAS, SPSS and so on provide these features. In R, the data.table package is very useful for ... [Read more...]

The stats::update function is one of my favorite tools in R. Using this function saves a lot of time and effort when needing to modify an object. However, this function has its limits. The following is an example of how to extend the use of stats::up... [Read more...]

The stats::update function is one of my favorite tools in R. Using this function saves a lot of time and effort when needing to modify an object. However, this function has its limits. The following is an example of how to extend the use of stats::up... [Read more...]

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This report describes changes in version 0.4 of the ‘DOM’ package for R. The main change in this version is the addition of new functions that allow control over the Cascading Style Sheet (CSS) content of a web page. This provides programmatic control over the styling of HTML and SVG content ... [Read more...]

This report describes changes in version 0.4 of the ‘DOM’ package for R. The main change in this version is the addition of new functions that allow control over the Cascading Style Sheet (CSS) content of a web page. This … Continue reading → [Read more...]

[For this exercise, first write down your answer, without using R. Then, check your answer using R.] Answers to the exercises are available here. Exercise 1 if x [Read more...]

Nina Zumel recently mentioned the use of Laplace noise in “count codes” by Misha Bilenko (see here and here) as a known method to break the overfit bias that comes from using the same data to design impact codes and fit a next level model. It is a fascinating method ... [Read more...]