Examples: visualization, C++, networks, data cleaning, html widgets, ropensci.

Found 24 packages in 0.01 seconds

shinydashboard — by Winston Chang, 4 months ago

Create Dashboards with 'Shiny'

Create dashboards with 'Shiny'. This package provides a theme on top of 'Shiny', making it easy to create attractive dashboards.

pool — by Joe Cheng, a month ago

Object Pooling

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.

provSummarizeR — by Barbara Lerner, 25 days ago

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 < https://github.com/End-to-end-provenance/ExtendedProvJson>. 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, .

ems — by Lunna Borges, 3 months ago

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.

smss — by Jeffrey B. Arnold, 3 years ago

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.

provParseR — by Barbara Lerner, 2 months ago

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>.

STMotif — by Heraldo Borges, 8 days ago

Discovery of Motifs in Spatial-Time Series

Allow to identify motifs in spatial-time series. A motif is a previously unknown subsequence of a (spatial) time series with relevant number of occurrences. For this purpose, the Combined Series Approach (CSA) is used.

provViz — by Barbara Lerner, a month ago

Provenance Visualizer

Displays provenance graphically for provenance collected by the 'rdt' or 'rdtLite' packages, or other tools providing compatible PROV JSON output. The exact format of the JSON created by 'rdt' and 'rdtLite' is described in < https://github.com/End-to-end-provenance/ExtendedProvJson>. 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, .

TurtleGraphics — by Barbara Zogala-Siudem, a year ago

Turtle Graphics

An implementation of turtle graphics < http://en.wikipedia.org/wiki/Turtle_graphics>. Turtle graphics comes from Papert's language Logo and has been used to teach concepts of computer programming.

rdtLite — by Barbara Lerner, 3 months ago

Provenance Collector

Defines functions that can be used to collect provenance as an R script executes or during a console session. The output is a text file in PROV-JSON format.