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: 1.0
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: 2021-09-16
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_1.0.tar.gz
Windows binaries: r-devel: Statsomat_1.0.zip, r-release: Statsomat_1.0.zip, r-oldrel: Statsomat_1.0.zip
macOS binaries: r-release (arm64): Statsomat_1.0.tgz, r-release (x86_64): Statsomat_1.0.tgz, r-oldrel: Statsomat_1.0.tgz

Linking:

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