Provides a shiny-based front end (the 'ExPanD' app) and a set of functions for exploratory data analysis. Run as a web-based app, 'ExPanD' enables users to assess the robustness of empirical evidence without providing them access to the underlying data. You can export a notebook containing the analysis of 'ExPanD' and/or use the functions of the package to support your exploratory data analysis workflow. Refer to the vignettes of the package for more information on how to use 'ExPanD' and/or the functions of this package.
Add a download button to a 'shiny' plot or 'plotly' that appears when the plot is hovered. A tooltip, styled to resemble 'plotly' buttons, is displayed on hover of the download button. The download button can be used to allow users to download the dataset used for a plot.
I was my great pleasure yesterday to be a presenter in the "Why R Webinar" series, on the topic R at Microsoft. In the talk (which you can watch below) I recounted the history of Microsoft's acquisition of Revolution Analytics, and the various way the Microsoft supports R: its membership of the R Consortium, integration with many products (including demos of Azure ML Service with GitHub Actions, and Azure Functions), and how Microsoft has driven adoption of R in large organizations by making R "IT approved". Many thanks to the Why R Foundation for hosting the talk, and to everyone...
Going parallel: understanding load balancing in R | Neural Discharge
With most computers now having many cores, parallelising your R code is a great way to reduce processing time, and there are lots of packages to help. But if you benchmark your new code, you may fi…
coalesce is a one of those functions that might not strike you as being very useful, mainly because it doesn’t sound very exciting. But it IS useful, and might save you some time and complexity
R Scripts in the Google Cloud via Cloud Run, Cloud Build and Cloud Scheduler • googleCloudRunner
Tools to easily enable R scripts in the Google Cloud Platform. Utilise cloud services such as Cloud Run for R over HTTP, Cloud Build for Continuous Delivery and Integration services and Cloud Scheduler for scheduled scripts.