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.

sageR: Applied Statistics for Economics and Management with R

Datasets and functions for the book "Statistiques pour l’économie et la gestion", "Théorie et applications en entreprise", F. Bertrand, Ch. Derquenne, G. Dufrénot, F. Jawadi and M. Maumy, C. Borsenberger editor, (2021, ISBN:9782807319448, De Boeck Supérieur, Louvain-la-Neuve). The first chapter of the book is dedicated to an introduction to statistics and their world. The second chapter deals with univariate exploratory statistics and graphics. The third chapter deals with bivariate and multivariate exploratory statistics and graphics. The fourth chapter is dedicated to data exploration with Principal Component Analysis. The fifth chapter is dedicated to data exploration with Correspondance Analysis. The sixth chapter is dedicated to data exploration with Multiple Correspondance Analysis. The seventh chapter is dedicated to data exploration with automatic clustering. The eighth chapter is dedicated to an introduction to probability theory and classical probability distributions. The ninth chapter is dedicated to an estimation theory, one-sample and two-sample tests. The tenth chapter is dedicated to an Gaussian linear model. The eleventh chapter is dedicated to an introduction to time series. The twelfth chapter is dedicated to an introduction to probit and logit models. Various example datasets are shipped with the package as well as some new functions.

Version: 0.6.1
Depends: R (≥ 3.5.0)
Imports: ggplot2
Suggests: knitr, markdown, prettydoc, rmarkdown, testthat (≥ 3.0.0), covr, learnr, spelling, lattice, spatstat.data, Matrix, mgcv, PMCMRplus, devtools, extrafont, DescTools, GGally, VGAM, car, dplyr, tibble, ggiraphExtra, scales, spatstat, vcd, FactoMineR, cluster, caret, corrplot, actuar
Published: 2023-03-23
DOI: 10.32614/CRAN.package.sageR
Author: Frederic Bertrand ORCID iD [cre, aut], Claire Borsenberger [ctb], Christian Derquenne [ctb], Gilles Dufrénot [ctb], Fredj Jawadi [ctb], Myriam Maumy-Bertrand ORCID iD [aut]
Maintainer: Frederic Bertrand <frederic.bertrand at utt.fr>
BugReports: https://github.com/fbertran/sageR/issues/
License: GPL-3
URL: https://fbertran.github.io/homepage/, https://fbertran.github.io/sageR/, https://github.com/fbertran/sageR/
NeedsCompilation: no
Language: fr-FR
Citation: sageR citation info
Materials: README NEWS
CRAN checks: sageR results

Documentation:

Reference manual: sageR.pdf
Vignettes: Liens vers les vignette de chaque chapitre.

Downloads:

Package source: sageR_0.6.1.tar.gz
Windows binaries: r-devel: sageR_0.6.1.zip, r-release: sageR_0.6.1.zip, r-oldrel: sageR_0.6.1.zip
macOS binaries: r-release (arm64): sageR_0.6.1.tgz, r-oldrel (arm64): sageR_0.6.1.tgz, r-release (x86_64): sageR_0.6.1.tgz, r-oldrel (x86_64): sageR_0.6.1.tgz
Old sources: sageR archive

Linking:

Please use the canonical form https://CRAN.R-project.org/package=sageR 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.