Note: Word Press messes up the code. Find the code here: https://github.com/trinker/RandomCaseEffect This past week I was preparing slides for a reading assessment class with a lecture focus on the...continue reading.
This article describes the simulation behind the app that you find here This simulation of the results for the 2018 general election is based on the results from the last...continue reading.
In the quest for ever faster code, one generally begins exploring ways to integrate C++ with R using Rcpp. This post provides an example of multiple implementations of a European...continue reading.
In the quest for ever faster code, one generally begins exploring ways to integrate C++ with R using Rcpp. This post provides an example of multiple implementations of a European...continue reading.
The mlr: Machine Learning in R package provides a generic, object-oriented and extensible framework for classification, regression, survival analysis and clustering for the statistical programming language R. The package targets...continue reading.
This is a very short post with example code Over time when you move your shiny app from your computer to a server, you want to add some logging. Generally...continue reading.
Experiences with using R/exams for multiple automated and randomized exams in an applied statistics course for environmental scientists at Universität Koblenz-Landau. Guest post by Ralf B. Schäfer (Universität Koblenz-…continue reading.
Just In Time For Baseball The mlbgameday package has just reached the milestone of version 0.1.0. Designed to facilitate extract, transform and load for MLBAM “Gameday” data. The package is...continue reading.
The nmslibR package is a wrapper of NMSLIB, which according to the authors “… is a similarity search library and a toolkit for evaluation of similarity search methods. The goal...continue reading.
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.
I’ve just updated The Popularity of Data Science Software to reflect my take on Gartner’s 2018 report, Magic Quadrant for Data Science and Machine Learning Platforms. To save you the...continue reading.
@drsimonj here to share how I create and reuse corporate color palettes for ggplot2. You’ve started work as a data scientist at “drsimonj Inc” (congratulations, by the way) and PR...continue reading.
This post introduces the snappoly R package, a data package in the SNAPverse R package ecosystem. It contains a number of convenient SpatialPolygonsDataFrame objects sourced from shapefiles commonly used at...continue reading.
Last week, my brand new DataCamp course Shiny Case Studies was finally released after being in the works for a full year! Check out the course This is an online...continue reading.
Hello and welcome to this new issue! Highlight Announcing the second round of ISC Funded Projects for 2017 Deep Learning Image Classification with Keras and Shiny New Packages ? Go...continue reading.
When I learned and experimented a new model, I always like to start with its likelihood function in order to gain a better understanding about the statistical nature. That’s why...continue reading.
We are pleased to announce that usethis 1.3.0 is now available on CRAN. usethis automates many common setup tasks for R projects, especially, but not only, for R packages. You...continue reading.
During a very quick tour of Edinburgh (and in particular some distilleries), Dave Robinson (Tidytext fame), was able to drop by the Edinburgh R meet-up group to give a very...continue reading.
Yesterday a friend told me, “Yihui has written the most remarkably open blog post, and you’ve got to read it.” I did and it was. Though my post here is...continue reading.
In Data Science, there are numerous instances where different techniques call for the use of different tools. For me, this means hopping between R and python on a weekly basis....continue reading.
Artificial intelligence / Deep neural networks / Keras / R / R News / Spark
April 22, 2024
GIS / R / R News / Shiny / Visualization
Interactive visualization of geospatial data with R Shiny
April 17, 2021
