Monthly Archives: April 2019

A unified syntax for accessing models’ information

April 1, 2019
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The richness and variety of packages for building and fitting statistical models in R is absolutely astonishing and contributes to the language’s popularity. However, this diversity makes it hard for developpers that want to create tools that work with different types of models. Indeed, the way to access models’ internal information (such as parameters names, formulae, data, etc.) is...

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A unified syntax for accessing models’ information

April 1, 2019
By

The richness and variety of packages for building and fitting statistical models in R is absolutely astonishing and contributes to the language’s popularity. However, this diversity makes it hard for developpers that want to create tools that work with different types of models. Indeed, the way to access models’ internal information (such as parameters names, formulae, data, etc.) is...

Read more »

Getting your toes wet in R: Hydrology, meteorology, and more

Getting your toes wet in R: Hydrology, meteorology, and more

Importance of Hydrology Given that liquid water is essential to life on Earth, water research cuts across numerous disciplines including hydrology, meteorology, geography, climate science, engineering, ecology, and more. Numerous R packages have emerged from this diversity of approaches, and we recently gathered many of them into a new rOpenSci task view which we broadly titled ‘Hydrology’ and published to...

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A unified syntax for accessing models’ information

April 1, 2019
By

The richness and variety of packages for building and fitting statistical models in R is absolutely astonishing and contributes to the language’s popularity. However, this diversity makes it hard for developpers that want to create tools that work with different types of models. Indeed, the way to access models’ internal information (such as parameters names, formulae, data, etc.) is...

Read more »

Musings on missing data

April 1, 2019
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Musings on missing data

I’ve been meaning to share an analysis I recently did to estimate the strength of the relationship between a young child’s ability to recognize emotions in others (e.g. teachers and fellow students) and her longer term academic success. The study itself is quite interesting (hopefully it will be published sometime soon), but I really wanted to write about it here...

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Data Science R&D at TD Ameritrade

April 1, 2019
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Data Science R&D at TD Ameritrade

Hugo Bowne-Anderson, the host of DataFramed, the DataCamp podcast, recently interviewed Sean Law, a Senior Applied Researcher and Data Scientist at TD Ameritrade. Introducing Sean Law Hugo: Hi there, Sean, and welcome to DataFramed. Sean: ...

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One week EARL London abstract extension – 8 April

April 1, 2019
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Due to quite a few panicked email requests over the weekend we have decided to extend the EARL London abstract deadline until 8 April.  Thank you so much to all the people that have already submitted, we can’t wait to look through all of the brilliant submissions. Submit your abstract here.

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Regression 101: Understanding business flows with OLS regression in R

April 1, 2019
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Regression 101: Understanding business flows with OLS regression in R

Clearly one of the most statistical techniques: OLS regression is one of the most commonly used methods for analysis and predictions. Furthermore, it also provides the basis for many more advanced techniques. All the more reasons to known how to conduct OLS regression in R and to understand the logic of this approach! This in-depth article provides an easy...

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Bioconductor S4 classes for high-throughput omics data

April 1, 2019
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Bioconductor S4 classes for high-throughput omics data Motivation Multi-omics data integration and analysis. What a beast! It is one of the major challenges in the era of personalized/precision medicine (or whatever you want to call it). De...

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