Package: xplorerr 0.2.0

Aravind Hebbali

xplorerr: Tools for Interactive Data Exploration

Tools for interactive data exploration built using 'shiny'. Includes apps for descriptive statistics, visualizing probability distributions, inferential statistics, linear regression, logistic regression and RFM analysis.

Authors:Aravind Hebbali [aut, cre]

xplorerr_0.2.0.tar.gz
xplorerr_0.2.0.zip(r-4.7-x86_64)xplorerr_0.2.0.zip(r-4.7-arm64)xplorerr_0.2.0.zip(r-4.6-x86_64)xplorerr_0.2.0.zip(r-4.6-arm64)xplorerr_0.2.0.zip(r-4.5-x86_64)
xplorerr_0.2.0.tgz(r-4.6-x86_64)xplorerr_0.2.0.tgz(r-4.6-arm64)xplorerr_0.2.0.tgz(r-4.5-x86_64)xplorerr_0.2.0.tgz(r-4.5-arm64)
xplorerr_0.2.0.tar.gz(r-4.7-arm64)xplorerr_0.2.0.tar.gz(r-4.7-x86_64)xplorerr_0.2.0.tar.gz(r-4.6-arm64)xplorerr_0.2.0.tar.gz(r-4.6-x86_64)
xplorerr_0.2.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
xplorerr/json (API)

# Install 'xplorerr' in R:
install.packages('xplorerr', repos = c('https://rsquaredacademy.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/rsquaredacademy/xplorerr/issues

Pkgdown/docs site:https://xplorerr.rsquaredacademy.com

Uses libs:
  • c++– GNU Standard C++ Library v3
Datasets:
  • exam - Dummy data set for Cochran's Q test
  • hsb - High School and Beyond Data Set
  • treatment - Dummy data set for 2 Sample Proportion test

On CRAN:

Conda:

dataexplorationshiny-appsstatisticsvisualizationcpp

6.48 score 37 stars 7 packages 12 scripts 6.5k downloads 9 exports 30 dependencies

Last updated from:f78b47a331. Checks:15 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-arm64OK124
linux-devel-x86_64OK136
source / vignettesOK249
linux-release-arm64OK117
linux-release-x86_64OK160
macos-release-arm64OK141
macos-release-x86_64OK202
macos-oldrel-arm64OK100
macos-oldrel-x86_64OK205
windows-devel-arm64OK359
windows-devel-x86_64OK156
windows-release-arm64OK339
windows-release-x86_64OK120
windows-oldrel-x86_64OK93
wasm-releaseOK133

Exports:app_descriptiveapp_inferenceapp_linear_regressionapp_logistic_regressionapp_rfm_analysisapp_vistributionsapp_visualizerxpl_gvarxpl_nsignC

Dependencies:base64encbslibcachemclicommonmarkdigestfastmapfontawesomefsgluehtmltoolshttpuvjquerylibjsonlitelaterlifecyclemagrittrmemoisemimeotelpromisesR6rappdirsRcpprlangsassshinysourcetoolswithrxtable