Creating Correspondence Tables Between Two Statistical
Classifications
c(person("Vasilis", "Chasiotis", role = "aut", comment="Department of Statistics, Athens University of Economics and Business"),
person("Photis", "Stavropoulos", role = "aut", comment="Quantos S.A. Statistics and Information Systems"),
person("Martin", "Karlberg", role = "aut"),
person("Mátyás", "Mészáros", email = "matyas.meszaros@ec.europa.eu", role = "cre"))
A candidate correspondence table between two classifications can be created when there are correspondence tables leading from the first classification to the second one via intermediate 'pivot' classifications.
The correspondence table between two statistical classifications can be updated when one of the classifications gets updated to a new version.
Vasilis Chasiotis [aut] (Department of Statistics, Athens University of
Economics and Business),
Photis Stavropoulos [aut] (Quantos S.A. Statistics and Information
Systems),
Martin Karlberg [aut],
Mátyás Mészáros [cre]

Calculates correlation of variables and displays the results graphically.

Calculates correlation of variables and displays the
results graphically.

Calculates correlation of variables and displays the results
graphically. Included panel functions can display points, shading, ellipses, and
correlation values with confidence intervals.
gridBase, knitr, Matrix, rmarkdown, testthat

gridBase, knitr, Matrix, psych, rmarkdown, sfsmisc, testthat

person("Kevin","Wright", email="kw.stat@gmail.com", comment=c(ORCID = "0000-0002-0617-8673"), role=c("aut","cre"))
Calculates correlation of variables and displays the results
graphically. Included panel functions can display points, shading, ellipses, and
correlation values with confidence intervals. See Friendly (2002) <doi:10.1198/000313002533>.

gridBase, knitr, Matrix, psych, rmarkdown, seriation,
sfsmisc, testthat

Calculates correlation of variables and displays the results graphically.  Included panel functions can display points, shading, ellipses, and correlation values with confidence intervals.