The hardware and bandwidth for this mirror is donated by METANET, the Webhosting and Full Service-Cloud Provider.
If you wish to report a bug, or if you are interested in having us mirror your free-software or open-source project, please feel free to contact us at mirror[@]metanet.ch.

Statsomat: Shiny Apps for Automated Data Analysis and Automated Interpretation

Shiny apps for automated data analysis, annotated outputs and human-readable interpretation in natural language. Designed especially for learners and applied researchers. Currently available methods: EDA, EDA with Python, Correlation Analysis, Principal Components Analysis, Confirmatory Factor Analysis.

Version: 1.1.0
Imports: shiny, rmarkdown, data.table, readr, shinydisconnect, knitr, kableExtra, car, DDoutlier, energy, corrplot, ggplot2, gridExtra, reshape2
Suggests: MASS, boot, nortest, lmtest, DescTools, psych, Hmisc, PerformanceAnalytics, reticulate, fastDummies, semTools, semPlot, FactoMineR, FactoInvestigate, factoextra, rrcov, methods, parallel, graphics, imputeMissings, onewaytests
Published: 2021-11-17
DOI: 10.32614/CRAN.package.Statsomat
Author: Denise Welsch ORCID iD [aut, cre], Berit Hunsdieck [ctb], Omar Alhelal [ctb]
Maintainer: Denise Welsch <denise.welsch at reyar.de>
License: AGPL
URL: https://statsomat.com
NeedsCompilation: no
SystemRequirements: For all functions resp. apps: pandoc, LaTeX. For the edapy() function resp. Statsomat/EDAPY app: Python (>=3).
CRAN checks: Statsomat results

Documentation:

Reference manual: Statsomat.pdf

Downloads:

Package source: Statsomat_1.1.0.tar.gz
Windows binaries: r-devel: Statsomat_1.1.0.zip, r-release: Statsomat_1.1.0.zip, r-oldrel: Statsomat_1.1.0.zip
macOS binaries: r-release (arm64): Statsomat_1.1.0.tgz, r-oldrel (arm64): Statsomat_1.1.0.tgz, r-release (x86_64): Statsomat_1.1.0.tgz, r-oldrel (x86_64): Statsomat_1.1.0.tgz
Old sources: Statsomat archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=Statsomat to link to this page.

These binaries (installable software) and packages are in development.
They may not be fully stable and should be used with caution. We make no claims about them.