tinytest 1.2.0 is on CRAN
tinytest is a relatively new, light-weight (no-dependency) but full-featured unit testing framework for R. It is currently used by 60+ packages, including the famous Rcpp package. The latest version of...continue reading.
tinytest is a relatively new, light-weight (no-dependency) but full-featured unit testing framework for R. It is currently used by 60+ packages, including the famous Rcpp package. The latest version of...continue reading.
R is not only good for analysing and visualizing data, but also for solving maths problems or comparing data with each other. Plus you can use it just like a...continue reading.
This tutorial is part of a series of R tutorials analyzing covid-19 data. For parts 1 and 2, see the following posts: https://www.sharpsightlabs.com/blog/r-data-analysis-covid-19-part1-data-wrangling/ https://www.sharpsightlabs.com/blog/r-data-analysis-covid-19-part-2-merge-datasets/ Covid19 analysis, part 3: initial data...continue reading.
Read this to find out about a maths game for home schooling, including some probability in R!continue reading.
Table of Contents Is it possible to build a video game in R Shiny? Concept: Card Swiping Project Structure: CSS, JavaScript, and R6 Classes Final Result Resources Is It Possible...continue reading.
This post is to announce that the AzureQstor package is now on GitHub. AzureQstor provides an R interface to Azure queue storage, building on the facilities provided by AzureStor. Queue...continue reading.
Usually you want to store vectors and other objects into variables so you can work with them more easily. Variables are like a box with a name. You can then...continue reading.
Another puzzle in memoriam of John Conway in The Guardian: Find the ten digit number, abcdefghij. Each of the digits is different, and a is divisible by 1 ab is...continue reading.
This article is originally published at https://xianblog.wordpress.com Thanks for visiting r-craft.org This article is originally published at https://xianblog.wordpress.com Please visit source website for post related comments.continue reading.
The weekly puzzle from Le Monde is in honour of John Conway, who just passed away, ending up his own game of life: On an 8×8 checker-board, Alice picks n...continue reading.
This tutorial is part of a series of R tutorials analyzing covid-19 data. For part 1, see the following post: https://www.sharpsightlabs.com/blog/r-data-analysis-covid-19-part1-data-wrangling/ Covid19 analysis, part 2: merge datasets In this tutorial,...continue reading.
R always creates lists of values—even when there is only one value in a list. These lists are called vectors and they make working with data much easier. Everything is...continue reading.
When considering the distribution of the sum (or average) of N Uniform variates, called either Irwin-Hall for the sum or Bates for the average, simulating the N uniforms then adding...continue reading.
In this tutorial, we’re going to analyze covid19 data using R and the Tidyverse. Recently, we started a data analysis series, where we analyzed covid19 data. The first set of...continue reading.
Being able to make causal claims is a key business value for any data science team, no matter their size.Quick analytics (in other words, descriptive statistics) are the bread and...continue reading.
Despite their advantages, Dynamic Shiny Modules can destabilize the Shiny environment and cause its reactive graph to be rendered multiple times. In this blogpost, I present how to remove deleted...continue reading.
To increase revenue, customers should be offered products they may need or films they might like. In this blog post, our colleague Andreas explains how to train your own movie...continue reading.
When I started my evidence-based software engineering book, nobody had written a data analysis book for software developers, so I had to write one (in fact, a book on this...continue reading.
When I started my evidence-based software engineering book, nobody had written a data analysis book for software developers, so I had to write one (in fact, a book on this...continue reading.
Deep learning need not be irreconcilable with privacy protection. Federated learning enables on-device, distributed model training; encryption keeps model and gradient updates private; differential privacy prevents the training data from...continue reading.