1989 search results for "RSTUDIO"

Need any more reason to love R-Shiny? Here: you can even use Shiny to create simple games!

January 26, 2016
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Need any more reason to love R-Shiny? Here: you can even use Shiny to create simple games!

TL;DR Click here to play a puzzle game written entirely in Shiny (source code). Anyone who reads my blog posts knows by now that I’m very enthusiastic about Shiny (the web app framework for R - if you didn’t know what Shiny is then I suggest reading my previous post about it). One of my reasons for...

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Bayesian regression with STAN Part 2: Beyond normality

January 26, 2016
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Bayesian regression with STAN Part 2: Beyond normality

In a previous post we saw how to perform bayesian regression in R using STAN for normally distributed data. In this post we will look at how to fit non-normal model in STAN using three example distributions commonly found in empirical data: negative-binomial (overdispersed poisson data), gamma (right-skewed continuous data) and beta-binomial (overdispersed binomial data).

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Using webp in R: A New Format for Lossless and Lossy Image Compression

January 24, 2016
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Using webp in R: A New Format for Lossless and Lossy Image Compression

A while ago I blogged about the brotli, a new general purpose compression algorithm which Google promotes as an alternative to gzip. The same company also happens to be working on a new format for images called webp, which is actually a derivative of the VP8 video format. Google claims...

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Fun Data for teaching R

January 21, 2016
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Fun Data for teaching R

I’ll be running an R course soon and I am looking for fun (public) datasets to use in data manipulation and visualization. I would like to use a single dataset that has some easy variables for the first days, but … Continue reading →

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100 “must read” R-bloggers’ posts for 2015

January 20, 2016
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100 “must read” R-bloggers’ posts for 2015

The site R-bloggers.com is now 6 years young. It strives to be an (unofficial) online news and tutorials website for the R community, written by over 600 bloggers who agreed to contribute their R articles to the website. In 2015, the site served almost 17.7 million pageviews to readers worldwide. In celebration to R-bloggers’ 6th birth-month, here are the top 100 most read R posts written...

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Shiny 0.13.0

January 20, 2016
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Shiny 0.13.0

Shiny 0.13.0 is now available on CRAN! This release has some of the most exciting features we’ve shipped since the first version of Shiny. Highlights include: Shiny Gadgets HTML templates Shiny modules Error stack traces Checking for missing inputs New JavaScript events For a comprehensive list of changes, see the NEWS file. To install the

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R trends in 2015 (based on cranlogs)

January 20, 2016
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It is always fun to look back and reflect on the past year. Inspired by Christoph Safferling's post on top packages from published in 2015, I decided to have my own go at the top R trends of 2015. Contrary to Safferling's post I'll try to also (1) look at packages from previous years that hit the big...

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miniCRAN – developing internal CRAN Repositories

January 19, 2016
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by Steph Locke Today, I needed to work on a package that had numerous dependencies on internal packages and ones from CRAN. To be able to handle dependencies in the installation process, I needed something like CRAN so that install.packages() … Continue reading →

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Formatting table output in R

January 19, 2016
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Formatting table output in R

Formatting data for output in a table can be a bit of a pain in R. The package formattable by Kun Ren and Kenton Russell provides some intuitive functions to create good looking tables for the R console or HTML quickly. The package home page demonstrates the functions with illustrative examples nicely.There are a few points I...

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Introduction to Statistical Methods in R

January 18, 2016
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Data analyses are the product of many different tasks, and statistical methods are one key aspect of any data analysis. There is a common workflow in the related areas of informatics, data mining, data science, machine learning, and statistics. The workflow tasks include data preparation, the development of predictive mathematical models, and the interpretation and Read More ...The...

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