sparklyr 1.1: Foundations, Books, Lakes and Barriers
Today we are excited to share that sparklyr 1.1 is now available on CRAN! In a nutshell, you can use sparklyr to scale datasets across computing clusters running Apache Spark....continue reading.
R News from another blog for R community
sparklyr 1.1: Foundations, Books, Lakes and Barriers
Today we are excited to share that sparklyr 1.1 is now available on CRAN! In a nutshell, you can use sparklyr to scale datasets across computing clusters running Apache Spark....continue reading.
RStudio, PBC
We started the RStudio project because we were excited and inspired by R. The creators of R provided a flexible and powerful foundation for statistical computing; then made it free...continue reading.
Numpy where explained
In this tutorial, I’ll show you how to use the Numpy where function. I’ll explain what np.where is and also how the syntax of np.where works. Later in the tutorial,...continue reading.
R as a tool for Systems Administration
When talking about languages to use in Production in data science, R is usually not part of the conversation and if it is, it’s referenced as a secondary language. One...continue reading.
rstudio::conf 2020 Workshops
rstudio::conf 2020 got underway today with a huge training event featuring eighteen workshops taught by some of the most experienced and sought after instructors in the R Community. The workshops...continue reading.
R Weekly 2020-04 Geographic distance, mutable feeling objects, Github Actions
Hello and welcome to this new issue! Release Date: 2020-01-27 This week’s release was curated by Jonathan Carroll, with help from the RWeekly team members and contributors. Geographic distance Objects...continue reading.
Dynamic discrete choice models, reinforcement learning and Harold, part 1
Introduction I want to write about an Econometrica paper written in 1987 (jstor link) by John Rust, currently Professor of Economics at Georgetown University, paper which has been on my...continue reading.
Dynamic discrete choice models, reinforcement learning and Harold, part 1
Introduction I want to write about an Econometrica paper written in 1987 (jstor link) by John Rust, currently Professor of Economics at Georgetown University, paper which has been on my...continue reading.
Compact Guide to Classical Inference by Daniel Kaplan (or: How to Teach Stats)
“Both students and instructors perceive standard-error statistics as a confusing collection of specialized tools. To improve student learning, instructors long for a reduction in the number of topics needed to...continue reading.
Statistical inference on MCMC traces
Hi everyone, and Happy New Year! This post is about some statistical inferences that one can do using as “data” the output of MCMC algorithms. Consider the trace plot above....continue reading.
How To Create REST APIs With R Plumber
In this blog post, Stephan explains how to translate a simple R script, which transforms tables from wide to long format into a REST API with the R package Plumber...continue reading.
Dissecting transcriptomic signatures of neuronal differentiation and maturation using iPSCs
This article is originally published at https://lcolladotor.github.io/ Thanks for visiting r-craft.org This article is originally published at https://lcolladotor.github.io/ Please visit source website for post related comments.continue reading.
Posts
This article is originally published at https://nowosad.github.io/ Thanks for visiting r-craft.org This article is originally published at https://nowosad.github.io/ Please visit source website for post related comments.continue reading.
NumPy-style broadcasting for R TensorFlow users
Broadcasting, as done by Python’s scientific computing library NumPy, involves dynamically extending shapes so that arrays of different sizes may be passed to operations that expect conformity – such as...continue reading.
How to calculate landscape metrics for local landscapes?
In the last few weeks, I was asked a similar question several times – how to calculate landscape metrics for local landscapes? In other words, how to divide the categorical...continue reading.
rstudio::conf 2020 –> conference preview
Two weeks ago I flew from New York to Warsaw, Poland to begin a new role at Appsilon Data Science. On Saturday, I’ll be flying right back in the other...continue reading.
RStudio Connect 1.8.0
RStudio Connect helps data science teams quickly make an impact by enabling them to publicize reports, models, dashboards, and applications created in R and Python with business stakeholders. The 1.8.0...continue reading.
RStudio Connect 1.8.0
RStudio Connect helps data science teams quickly make an impact by enabling them to publicize reports, models, dashboards, and applications created in R and Python with business stakeholders. The 1.8.0...continue reading.
Scraping the Sugarcoat
Abstract: Web-scraped data are used to put a Rubik’s cube competition result into perspective. The sugarcoating consists of altering the sampling frame of the comparison to the more relevant population...continue reading.
