by Mark Sellors, Mango Solutions @sellorm  Mark Sellors from Mango took the Data Science Radar Challenge and his dominant skill was a Technologist, so we asked him a few questions. 1.  Tell us a bit about your background … Continue reading → [Read more...]

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

Logarithmic Loss, or simply Log Loss, is a classification loss function often used as an evaluation metric in kaggle competitions. Since success in these competitions hinges on effectively minimising the Log Loss, it makes sense to have some understanding of how this metric is calculated and how it should be ... [Read more...]

This is a guest post from VP Nagraj, a data scientist embedded within UVA’s Health Sciences Library, who runs our Data Analysis Support Hub (DASH) service.The WhatGRUPO (Gauging Research University Publication Output) is a Shiny app that provides sid... [Read more...]

This is a guest post from VP Nagraj, a data scientist embedded within UVA’s Health Sciences Library, who runs our Data Analysis Support Hub (DASH) service.The WhatGRUPO (Gauging Research University Publication Output) is a Shiny app that provides side-by-side benchmarking of American research university publication activity.The HowThe ... [Read more...]

I posted a new version of the "RcmdrPlugin.KMggplot2" package, which is an Rcmdr plug-in for a "ggplot2" GUI front-end. RcmdrPlugin.KMggplot2 (CRAN) NEWS Changes in version 0.2-1 (2015-12-14) Kaplan-Meier plot: fixed a bug was caused by a tie data handling. (Thanks to Dr. M. Felix Freshwater). Slove… [Read more...]

I posted a new version of the ”RcmdrPlugin.KMggplot2” package, which is an Rcmdr plug-in for a ”ggplot2” GUI front-end. RcmdrPlugin.KMggplot2 (CRAN) NEWS Changes in version 0.2-1 (2015-12-14) Kaplan-Meier plot: fixed a bug was caused by a tie data handli [Read more...]

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Rafael Ladeira asked on github: I was wondering why it doesn't implement some others algorithms for search for optimal tuning parameters. What would be the caveats of using a genetic algorithm , for instance, instead of grid or random search? Do y... [Read more...]

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This note shows the most recent R-related bookmarks from my Pinboard feed. Most of them come from GitHub or R-Bloggers. The links open in new tabs/windows. The bookmarks are converted from RSS to HTML by Engin Kizil’s FeedEk plugin, whic... [Read more...]

The RStudio IDE is a central component of the R software ecology that makes it easier to code in R, or to use R with other tools. This note discusses its use in a teaching environment. Most of my teaching experience lies with Stata, but in recent years, I have ... [Read more...]

[social4i size=”large” align=”float-right”] Modeling and Solving Linear Programming with R (pdf – free download link) is a book about solving [Read more...]

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[This article was first published on The 20% Statistician, and kindly contributed to R-bloggers]. (You can report issue about the content on this page here) Want to share [Read more...]

Doing quantitative research implies a lot of data crunching and one needs clean and reliable data to achieve this. What is really needed is clean data that is easily accessible (even without an internet connection). The most efficient way to do this for me has been to maintain a set ... [Read more...]

In the model development, the “leave-one-out” prediction is a way of cross-validation, calculated as below: 1. First of all, after a model is developed, each observation used in the model development is removed in turn and then the model is refitted with the remaining observations 2. The out-of-sample prediction for the refitted ... [Read more...]