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Create Dashboards with 'Shiny'
Create dashboards with 'Shiny'. This package provides a theme on top of 'Shiny', making it easy to create attractive dashboards.
Interactive Tutorials for R
Create interactive tutorials using R Markdown. Use a combination of narrative, figures, videos, exercises, and quizzes to create self-paced tutorials for learning about R and R packages.
Toolbox for Pseudo and Quasi Random Number Generation and Random Generator Tests
Provides (1) pseudo random generators - general linear congruential generators,
multiple recursive generators and generalized feedback shift register (SF-Mersenne Twister
algorithm and WELL generators); (2) quasi random generators - the Torus algorithm, the
Sobol sequence, the Halton sequence (including the Van der Corput sequence) and (3) some
generator tests - the gap test, the serial test, the poker test.
See e.g. Gentle (2003)
Pulls Information from Prov.Json Files
R functions to access provenance information collected by 'rdt' or 'rdtLite'. The information is stored inside a 'ProvInfo' object and can be accessed through a collection of functions that will return the requested data. The exact format of the JSON created by 'rdt' and 'rdtLite' is described in < https://github.com/End-to-end-provenance/ExtendedProvJson>.
Enables the creation of object pools, which make it less computationally expensive to fetch a new object. Currently the only supported pooled objects are 'DBI' connections.
'WebSocket' Client Library
Provides a 'WebSocket' client interface for R. 'WebSocket' is a protocol for low-overhead real-time communication: < https://en.wikipedia.org/wiki/WebSocket>.
Epimed Solutions Collection for Data Editing, Analysis, and Benchmark of Health Units
Collection of functions for data analysis and editing of clinical and epidemiological data. Most of them are related to benchmark with prediction models.
Summarizes Provenance Related to Inputs and Outputs of a Script or Console Commands
Reads the provenance collected by the 'rdt' or
'rdtLite' packages, or other tools providing compatible PROV JSON output
created by the execution of a script, and provides a human-readable
summary identifying the input and output files, the script used
(if any), errors and warnings produced, and the environment in
which it was executed. It can also optionally package all the
files into a zip file. The exact format of the JSON created by
'rdt' and 'rdtLite' is described in
More information about 'rdtLite' and associated tools is available
at < https://github.com/End-to-end-provenance/> and Barbara Lerner,
Emery Boose, and Luis Perez (2018), Using Introspection to Collect
Provenance in R, Informatics,
Load Test Shiny Applications
Assesses the number of concurrent users 'shiny' applications are capable of supporting, and for directing application changes in order to support a higher number of users. Provides facilities for recording 'shiny' application sessions, playing recorded sessions against a target server at load, and analyzing the resulting metrics.
Datasets for Agresti and Finlay's "Statistical Methods for the Social Sciences"
Datasets used in "Statistical Methods for the Social Sciences" (SMSS) by Alan Agresti and Barbara Finlay.