As an author of several open-source software projects, I’ve taken for granted that people using the software share the same community values as I do. Open-source authors provide their code “free” to the community so that others may benefit without having to re-invent the wheel. The only expectation (but not an actual requirement per se), is
Detect sentinel values, recode factor variables, replace missing values: a tutorial on various steps in data preparation using R.
The post Preparing the data for modelling with R appeared first on MilanoR.
Announcing the new shiny apps gallery that showcases the use of Plotly’s R API in Shiny Applications. You can visit the gallery here: https://plot.ly/r/shiny-gallery/ Apps showcase the use of a variety of plotly features including: Adding interactive plotly graphs using plotlyOutput() Embedding ggplot style visualizations using ggplotly() Accessing click, hover and zoom events using event_data()
This past January, we held the first ever Shiny Developer Conference. It was a chance to gather together a group of intermediate to advanced Shiny users, and take their skills to the next level. It was an exciting event for me in particular, as I’ve been dying to share some of these intermediate and advanced
Background and motivation
In an earlier post I explored ways that might improve on standard methods for prediction intervals from univariate time series forecasting. One of the tools I used was a convenience function to combine forecasts from Rob Hyndman’s ets and auto.arima functions. David Shaub (with a small contribution from myself) has now built and published...
R 3.3.0, a major annual update to the R Language, was released earlier this week and is now available from your local CRAN mirror for Windows, Mac (OSX 10.6 or later) and Linux systems. (Or as always, you can build it yourself from sources). This update — codenamed "Supposedly Educational" — makes a number of significant improvements to R,...
The R package ‘manipulate’ can be used to create interactive plots in RStudio. Though not as versatile as the ‘shiny’ package, ‘manipulate’ can be used to quickly add interactive elements to standard R plots. This can prove useful for demonstrating statistical concepts, especially to a non-statistician audience. The R code at the end of this
Help Me, Help You
As an R-dev, I’d like to know I’m meeting community need, as well as my own. But after an initial “aha!” moment, you don’t always know how to live up to the full potential of what you’ve started with a package. For example, RStudio collects extensive data through their products to better understand...
R 3.3.0 (codename “Supposedly Educational”) was released today. You can get the latest binaries version from here. (or the .tar.gz source code from here). The full list of new features and bug fixes is provided below. Upgrading to R 3.3.0 on Windows If you are using Windows you can easily upgrade to the latest version of R using the installr package. … Continue reading...