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Explore Your Data Interactively • ExPanDaR
Explore Your Data Interactively • ExPanDaR
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.
·joachim-gassen.github.io·
Explore Your Data Interactively • ExPanDaR
CRAN - Package shinydlplot
CRAN - Package shinydlplot
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.
·cran.r-project.org·
CRAN - Package shinydlplot
R Scripts in the Google Cloud via Cloud Run, Cloud Build and Cloud Scheduler • googleCloudRunner
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.
·code.markedmondson.me·
R Scripts in the Google Cloud via Cloud Run, Cloud Build and Cloud Scheduler • googleCloudRunner
Tools for Computation on Batch Systems • batchtools
Tools for Computation on Batch Systems • batchtools
As a successor of the packages BatchJobs and BatchExperiments, this package provides a parallel implementation of the Map function for high performance computing systems managed by schedulers IBM Spectrum LSF (), OpenLava (), Univa Grid Engine/Oracle Grid Engine (), Slurm (), TORQUE/PBS (), or Docker Swarm (). A multicore and socket mode allow the parallelization on a local machines, and multiple machines can be hooked up via SSH to create a makeshift cluster. Moreover, the package provides an abstraction mechanism to define large-scale computer experiments in a well-organized and reproduci...
·mllg.github.io·
Tools for Computation on Batch Systems • batchtools