Explore Your Data with ExPanD

Explore Your Data with ExPanD

The ‘ExPanDaR’ package offers a toolbox for interactive exploratory data analysis (EDA). Closing down for the year, I finally wrapped up a new version that now allows exploring all sorts of data interactively and generates notebooks containing the analysis all more or less with one line of code and a click. So here comes my little Christmas present for...

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Why to try Practical Data Science with R, 2nd Edition

December 22, 2019
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Why to try Practical Data Science with R, 2nd Edition

I thought we would try to express why somebody interested in using the R language (and package ecosystem) for supervised machine learning, data wrangling, analytics projects, and other data science topics should give Practical Data Science with R, 2nd Edition a try. Nina Zumel and I shared the book with two incredible data scientists (Jeremy … Continue reading Why...

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Introducing the bSims R package for simulating bird point counts

December 22, 2019
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Introducing the bSims R package for simulating bird point counts

The bSims R package is a highly scientific and utterly addictive bird point count simulator. Highly scientific, because it implements a spatially explicit mechanistic simulation that is based on statistical models widely used in bird point count analysis (i.e. removal models, distance sampling), and utterly addictive because the implementation is designed to allow rapid interactive exploration (via shiny apps) and efficient simulation (supporting various parallel backends), thus...

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Version 0.9.0 of NIMBLE released

December 21, 2019
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Version 0.9.0 of NIMBLE released

We’ve released the newest version of NIMBLE on CRAN and on our website. NIMBLE is a system for building and sharing analysis methods for statistical models, especially for hierarchical models and computationally-intensive methods (such as MCMC and SMC). Version 0.9.0 provides some new features as well as providing a variety of speed improvements, better output handling,

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riddle on a circle

December 21, 2019
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The Riddler’s riddle this week provides another opportunity to resort to brute-force simulated annealing! Given a Markov chain defined on the torus {1,2,…,100} with only moves a drift to the right (modulo 100) and a uniformely random jump, find the optimal transition matrix to reach 42 in a minimum (average) number of moves. Which I

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Gold-Mining Week 16 (2019)

December 21, 2019
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Week 16 Gold Mining and Fantasy Football Projection Roundup now available. The post Gold-Mining Week 16 (2019) appeared first on Fantasy Football Analytics.

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Using R and H2O Isolation Forest anomaly detection for data quality, further analysis.

December 21, 2019
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Using R and H2O Isolation Forest anomaly detection for data quality, further analysis.

Introduction: This is the second article on data quality, for the first part, please go to: http://laranikalranalytics.blogspot.com/2019/11/using-r-and-h2o-isolation-forest-for.html Since Isolation Forest is building an ensemble of isolation trees, and these trees are created randomly, there is a lot of randomness in the isolation forest training, so, to have a more robust result, 3 isolation forest models will be trained for a better anomaly...

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simmer 4.4.0 on CRAN

December 21, 2019
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The 4.4.0 release of simmer, the Discrete-Event Simulator for R, is on CRAN. This update stabilises a new pace of a couple of new releases per year, which is more appropriate given the maturity that the project has reached. This release brings us a dozen bug fixes and improvements, including the unification of the leave/renege API, further enhancements… Continuar leyendo simmer 4.4.0...

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Analysing large data on your laptop with a database and R by @ellis2013nz

December 21, 2019
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Analysing large data on your laptop with a database and R by @ellis2013nz

The New York City Taxi & Limousine Commission’s open data of taxi trip records is rightly a go-to test piece for analytical methods for largish data. Check out, for example: The benchmark of interesting analysis is set by Todd W Schneider’s...

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4 great free tools that can make your R work more efficient, reproducible and robust

December 21, 2019
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4 great free tools that can make your R work more efficient, reproducible and robust

Introduction It is Christmas time again! And just like last year, what better time than this to write about the great tools that are available to all interested in working with R. This post is meant as a praise to a few selected tools and packages that helped me to be more efficient and productive with R in 2019. In this...

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The significance of education on the salary in Sweden, a comparison between different occupational groups

December 20, 2019
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The significance of education on the salary in Sweden, a comparison between different occupational groups

In my last post, I found that education has a significant impact on the salary of engineers. Is the significance of education on wages unique to engineers or are there similar correlations in other occupational groups? I will use the same model in principal as in my previous post to calculate the significance of education. I will not use sex...

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mlr wins Open Source Machine Learning Software Award

mlr wins Open Source Machine Learning Software Award

mlr receives Open Source Machine Learning Project Award mlr receives Open Source Machine Learning Project Award We’re extremely proud to have received the Open Source Machine Learning Project Award at ODSC West 2019. We were joined by Tens...

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The Hitchhiker’s Guide to Ggplot2 + The Hitchhiker’s Guide to Plotnine

December 20, 2019
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The Hitchhiker’s Guide to Ggplot2 + The Hitchhiker’s Guide to Plotnine

About the bundle Jodie Burchell and yours truly have published two books, The Hitchhiker’s Guide to Ggplot and The Hitchhiker’s Guide to Plotnine, on graphing in both R and Python using ggplot2 and plotnine, which are cross-language equivalents. You can get the two books together for a special price if you buy The Hitchhiker’s Guide to Ggplot2 + The Hitchhiker’s Guide...

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A full RStudio Server setup for Package Development in 5 minutes

December 20, 2019
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At the end of the post there is a promotional link for free DigitalOcean credits. About At LatinR 2019 I attended a very nice tutorial taught by Dr. Hadley Wickham about package development and I decided to create a tailored image to follow the cours...

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‘dockr’: easy containerization for R

‘dockr’: easy containerization for R

dockr 0.8.6 is now available on CRAN. dockr is a minimal toolkit to build a lightweight Docker container image for your R package, in which the package itself is available. The Docker image seeks to mirror your R session as close as possible with respect to R specific dependencies. Both dependencies on CRAN R packages as well as local non-CRAN R packages will...

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SKEWed perceptions

December 19, 2019
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SKEWed perceptions

The CBOE’s SKEW index has attracted some headlines among the press and blogosphere, as readings approach levels not see in the last year. If the index continues to draw attention, doomsayers will likely say this predicts the next correction or bear market. Perma-bulls will catalogue all the reasons not to worry. Our job will be to look at the...

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Making a plot of December snowfall data in NJ with R’s ggplot2 & rnoaa

December 19, 2019
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Making a plot of December snowfall data in NJ with R’s ggplot2 & rnoaa

What is this post about? Today on my way to work I was speaking to my girlfriend on the phone and somehow a conversation started about what are the chances that we will have a white Christmas this year. Being that Christmas is only a few days out and the fact that I love anything relating to the environment and...

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November 2019: “Top 40” New R Packages

December 19, 2019
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November 2019: “Top 40” New R Packages

One hundred forty-four new packages made it to CRAN in November. Here are my picks for the “Top 40” in eight categories: Computational Methods, Data, Genomics, Machine Learning, Statistics, Time Series, Utilities, and Visualization. Computational Methods calculus v0.1.1: Provides C++ optimized functions for numerical and symbolic calculus including symbolic arithmetic, tensor calculus, Einstein summation convention, Taylor series expansion, multivariate Hermite polynomials...

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reticulate 1.14

December 19, 2019
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We’re excited to announce that reticulate 1.14 is now available on CRAN! You can install it with: install.packages("reticulate") With this release, we are introducing a major new feature: reticulate can now automatically configure a Python environment for the user, in coordination with any loaded R packages that depend on reticulate. This means that: R package authors can declare their Python dependency requirements...

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2 Months in 2 Minutes – rOpenSci News, December 2019

2 Months in 2 Minutes – rOpenSci News, December 2019

rOpenSci HQ rOpenSci Announces a New $896k Award From The Gordon and Betty Moore Foundation to Improve the Scientific Package Ecosystem for R. We’re excited to announce a new member of our team! Introducing Mark Padgham, rOpenSci’s new Software Research Scientist NumFOCUS recognizes Melina Vidoni and Will Landau for their contributions to rOpenSci. Videos, speaker’s slides, resources and collaborative notes from our Community...

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RSAGA 1.0.0

December 19, 2019
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RSAGA 1.0.0 has been released on CRAN. The RSAGA package provides an interface between R and the open-source geographic information system SAGA, which offers a variety of geoscientific methods to analyse spatial data. SAGA GIS is supp...

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

December 19, 2019
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Using R: Animal model with hglm and Stan (with Cholesky trick)

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 The hglm package fits hierarchical generalised linear

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Base Graphics – The “Drunk Uncle”  of R ?

December 19, 2019
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Base Graphics – The “Drunk Uncle”  of R ?

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 I can not help

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New NIMBLE code examples

December 19, 2019
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New NIMBLE code examples

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 widely used in ecology. We also have examples of

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

December 19, 2019
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How I built an interactive Shiny dashboard in 2 days without any experience in R

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 this article I will tell Article How I built...

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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
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  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.

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Why R? 2019 Conference – Summary

December 18, 2019
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Why R? 2019 Conference – Summary

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, ...

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R-hub usage in a few figures

December 18, 2019
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R-hub usage in a few figures

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 table loaded below, emails and packages are unidentified – but you...

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“trimmer” – trim an R object

“trimmer” – trim an R object

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 the size of an R object by recursively removing elements from the object one-by-one....

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