2019

Using R: Animal model with hglm and Stan (with Cholesky trick)

December 19, 2019 | mrtnj

A few weeks ago I posted about fitting the quantitative genetic animal model with MCMCglmm and R-INLA. Since then, I listened to a talk by Lars Rönnegård, one of the creators of the hglm package, and this paper was published in GSE about animal models in Stan. hglm ...

$\mathbf{y} = \mu + \mathbf{X} \mathbf{b} + \mathbf{Z} \mathbf{a} + \mathbf{e}$

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Base Graphics – The “Drunk Uncle” of R ?

December 19, 2019 | Stevie P

As we move into the Holidays I’m reminded of the family reunions taking place the world over and how such encounters can sometimes lead to skirmishes initiated by unsolicited advice – “Let me tell you what your problem is” or “When are you going to get a real job ?” While ...

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New NIMBLE code examples

December 19, 2019 | Chris Paciorek

We’ve posted a variety of new code examples for NIMBLE at https://r-nimble.org/examples. These include some introductory code for getting started with NIMBLE, as well as examples of setting up specific kinds of models such as GLMMs, spatial models, item-response theory models, and a variety of models ...

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Anomaly Detection Resources

December 19, 2019 | Paul van der Laken

Carnegie Mellon PhD student Yue Zhao collects this great Github repository of anomaly detection resources: https://github.com/yzhao062/anomaly-detection-resources The repository consists of tools for multiple languages (R, Python, Matlab, Java) and resources in the form of: Books & Academic Papers Online Courses and Videos Outlier Datasets Algorithms and Applications ... [Read more...]

Teach Yourself R in 24hrs

December 19, 2019 | cswindell

ABOUT THE BOOK: With the open source R programming language and its immense library of packages, you can perform virtually... The post Teach Yourself R in 24hrs appeared first on Mango Solutions.

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New Course: Learn Linear Modeling in R

December 19, 2019 | Charlie Custer

Learn the fundamentals of modeling with R and build a foundation for machine learning as you work through building, fitting, and assessing linear models. The post New Course: Learn Linear Modeling in R appeared first on Dataquest. [Read more...]

How I built an interactive Shiny dashboard in 2 days without any experience in R

December 19, 2019 | Maria Grycuk

I am a Project Leader working in a data science company. Many of our projects are written in R Shiny. I have never used R before and I believe it is important for me to understand at least on a basic level the challenges that can come with it. In ...

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The world of Data in 2020 – what we need to STOP talking about and what we need to START talking about!

December 19, 2019 | cswindell

With 2020 almost upon us, those of us involved in the production, management and utilisation of data are set... The post The world of Data in 2020 – what we need to STOP talking about and what we need to START talking about! appeared first on Mango Solutions. [Read more...]

Why R? 2019 Conference – Summary

December 18, 2019 | Marcin Kosiński

Why R? conferences have been the hallmark of the Why R? Foundation (whyr.pl). Our goal has been to establish a series of international R-related events in Poland. After three years, we are happy to announce that our main event, the Why R? conference, ... [Read more...]

logistic regression

December 18, 2019 | Modeling with R

Introduction Data preparation Data partition train the model prediction and confusion matrix altering the link function Introduction In this paper we will fit a logistic regression model to the heart disease data uploaded from kaggle website. For the data preparation we will follow the same steps as we did in ...

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naive bayes

December 18, 2019 | Modeling with R

Introduction Data preparation Data partition train the model Evaluate the model Fine tune the model: Conclusion Introduction Naive bayes model based on a strong assumption that the features are conditionally independent given the class label. Since this assumption is rarely when it is true, this model termed as naive. However, ...

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R-hub usage in a few figures

December 18, 2019 | Posts on R-hub blog

Earlier this year when launching this blog we explained why R package developers should care about R-hub. So, does anyone care? ???? Yes! Let’s summarize R-hub usage. Usage data As specified in our use terms we do not store user data. However we do store some usage data. In the ...

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“trimmer” – trim an R object

December 18, 2019 | Posts on pRopaganda by smaakagen

trimmer 0.7.5 is now available on CRAN. trimmer is a lightweight toolkit to trim a (potentially big) R object without breaking the results of a given function call, where the (trimmed) R object is given as argument. The trim function is the bread and butter of trimmer. It seeks to reduce ...

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We cleaned our website URLs with R!

December 18, 2019 | rOpenSci - open tools for open science

Last year we reported on the joy of using commonmark and xml2 to parse Markdown content, like the source of this website built with Hugo, in particular to extract links, at the time merely to count them. How about we go a bit further and use the same approach to ... [Read more...]

an arithmetic mean identity

December 18, 2019 | xi'an

A 2017 paper by Ana Pajor published in Bayesian Analysis addresses my favourite problem [of computing the marginal likelihood] and which I discussed on the ‘Og, linking with another paper by Lenk published in 2012 in JCGS. That I already discussed here last year. Lenk’s (2009) paper is actually using a technique ...

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Quickly Create (Mostly) Responsive HTML Columns With {htmltools}

December 18, 2019 | hrbrmstr

I had need to present a wall-of-text to show off a giant list of SSL certificate alternate names and needed the entire list to fit on one slide (not really for reading in full, but to show just how many there were in a way that a simple count would ...

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Data Science & Star Wars: Stakeholder Management in Evil Organisations

December 18, 2019 | cswindell

Not many people know this, but the First Order (the bad guys from the latest Star Wars films) once... The post Data Science & Star Wars: Stakeholder Management in Evil Organisations appeared first on Mango Solutions. [Read more...]

Converting LOBSTER demo R code into Python

December 18, 2019 | The R Trader

It has been more than a year since my last post, I’ve been super busy with consulting assignments working on algorithmic/electronic trading. The workload is still heavy but I managed to find a few hours to write this post as I came across a new great tool: LOBSTER (... [Read more...]

How to import an Excel file in RStudio?

December 17, 2019 | R on Stats and R

Introduction Transform an Excel file to a CSV file R working directory Get working directory Set working directory User-friendly method Via the console Via the text editor Import your dataset User-friendly way Via the text editor Import SPSS (.s...

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Basic visual manupulation of phylogenies in R

December 17, 2019 | П о д а т о ц и

From time to time I visit Stack Overflow (SO) to look at discussions on R, Shiny, and Tidyverse problems. Being an evolutionary biologist, this lead me to learn R in the first place, I also check for any questions related phylogenetics. Today I answered a question on basic visual manipulation ...

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R-bloggers

R news and tutorials contributed by hundreds of R bloggers

2019

Using R: Animal model with hglm and Stan (with Cholesky trick)

Base Graphics – The “Drunk Uncle” of R ?

New NIMBLE code examples

Anomaly Detection Resources

Teach Yourself R in 24hrs

New Course: Learn Linear Modeling in R

How I built an interactive Shiny dashboard in 2 days without any experience in R

The world of Data in 2020 – what we need to STOP talking about and what we need to START talking about!

Why R? 2019 Conference – Summary

logistic regression

naive bayes

R-hub usage in a few figures

“trimmer” – trim an R object

We cleaned our website URLs with R!

an arithmetic mean identity

Quickly Create (Mostly) Responsive HTML Columns With {htmltools}

Data Science & Star Wars: Stakeholder Management in Evil Organisations

Converting LOBSTER demo R code into Python

How to import an Excel file in RStudio?

Basic visual manupulation of phylogenies in R

2019

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