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.

SailoR: An Extension of the Taylor Diagram to Two-Dimensional Vector Data

A new diagram for the verification of vector variables (wind, current, etc) generated by multiple models against a set of observations is presented in this package. It has been designed as a generalization of the Taylor diagram to two dimensional quantities. It is based on the analysis of the two-dimensional structure of the mean squared error matrix between model and observations. The matrix is divided into the part corresponding to the relative rotation and the bias of the empirical orthogonal functions of the data. The full set of diagnostics produced by the analysis of the errors between model and observational vector datasets comprises the errors in the means, the analysis of the total variance of both datasets, the rotation matrix corresponding to the principal components in observation and model, the angle of rotation of model-derived empirical orthogonal functions respect to the ones from observations, the standard deviation of model and observations, the root mean squared error between both datasets and the squared two-dimensional correlation coefficient. See the output of function UVError() in this package.

Version: 1.2
Depends: R (≥ 3.5.0)
Published: 2020-09-23
DOI: 10.32614/CRAN.package.SailoR
Author: Jon Sáenz ORCID iD [aut, cph], Sheila Carreno-Madinabeitia ORCID iD [aut, cph], Santos J. González-Rojí ORCID iD [aut, cre, cph], Ganix Esnaola ORCID iD [ctb, cph], Gabriel Ibarra-Berastegi ORCID iD [ctb, cph], Alain Ulazia ORCID iD [ctb, cph]
Maintainer: Santos J. González-Rojí <santosjose.gonzalez at ehu.eus>
License: GPL-3
NeedsCompilation: no
Citation: SailoR citation info
Materials: NEWS
CRAN checks: SailoR results

Documentation:

Reference manual: SailoR.pdf

Downloads:

Package source: SailoR_1.2.tar.gz
Windows binaries: r-devel: SailoR_1.2.zip, r-release: SailoR_1.2.zip, r-oldrel: SailoR_1.2.zip
macOS binaries: r-release (arm64): SailoR_1.2.tgz, r-oldrel (arm64): SailoR_1.2.tgz, r-release (x86_64): SailoR_1.2.tgz, r-oldrel (x86_64): SailoR_1.2.tgz
Old sources: SailoR archive

Linking:

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