The survey-package from Thomas Lumley is a great toolkit when analyzing complex samples. It provides svyglm(), to fit generalised linear models to data from a complex survey… Read more “Negative Binomial Regression for Complex Samples (Surveys) #rstats”
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Solution in the R language to project Euler Problem 15. The problem asks to calculate the number of pathways through a 20 by 20 grid. Continue reading →
The post Euler Problem 15: Pathways Through a Lattice appeared first on The Devil is in the Data.
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A collaborator posed an interesting R question to me today. She wanted to do several regressions using different outcomes, with models being computed on different strata defined by a combination of experimental design variables. She then just wanted to extract the p-values for the slopes for each of the models, and then filter the strata […]
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Achieving a good score on a Kaggle competition is typically quite difficult.
This blog post outlines 7 tips for beginners to improve their ranking on the Kaggle leaderboards.
For this purpose, I also created a Kernel
for the Kaggle bike sharing comp…
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Do you like R? Information about Australian biomedical research funding outcomes? Tidy data? If the answers to those questions are “yes”, then you may also like nhmrcData, a collection of datasets derived from funding statistics provided by the Australian National Health & Medical Research Council. It’s also my first R package (more correctly, R data … Continue reading The nhmrcData package: NHMRC funding outcomes data made tidy
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Update: Slides click here. Stream processing with R in AWS by Gergely Daróczi Abstract: R…
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by Jonathan Regenstein In this post, I’ll describe a Shiny app to support the Emerging Markets ETF Country Exposure analysis developed in a previous post I have done some additional work and updated the analysis to include five ETFs in the app, whereas we originally imported data on 1 ETF. The new notebook is available […]
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by Le Zhang (Data Scientist, Microsoft) and Graham Williams (Director of Data Science, Microsoft) Employee retention has been and will continue to be one of the biggest challenges of a company. While classical tactics such as promotion, competitive perks, etc. are practiced as ways to retain employees, it is now a hot trend to rely on machine learning technology to discover behavioral patterns with which a company can understand their employees better. Employee demographic data has been studied and used for analyzing employees’ inclination towards leaving a company. Nowadays, with the proliferation of the Internet, employees’ behavior can better be…
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