Other packages > Find by keyword >

SailoR  

An Extension of the Taylor Diagram to Two-Dimensional Vector Data
View on CRAN: Click here


Download and install SailoR package within the R console
Install from CRAN:
install.packages("SailoR")

Install from Github:
library("remotes")
install_github("cran/SailoR")

Install by package version:
library("remotes")
install_version("SailoR", "1.2")



Attach the package and use:
library("SailoR")
Maintained by
Santos J. González-Rojí
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2019-10-11
Latest Update: 2020-09-23
Description:
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.
How to cite:
Santos J. González-Rojí (2019). SailoR: An Extension of the Taylor Diagram to Two-Dimensional Vector Data. R package version 1.2, https://cran.r-project.org/web/packages/SailoR. Accessed 07 Aug. 2026.
Previous versions and publish date:
(2026-07-09 08:25), 1.0 (2019-10-11 13:40), 1.1.2 (2020-07-16 23:40)
Other packages that cited SailoR R package
View SailoR citation profile
Other R packages that SailoR depends, imports, suggests or enhances
Complete documentation for SailoR
Functions, R codes and Examples using the SailoR R package
Some associated functions: Current . Dragonera . Ensembles . EstacaDeBares . Reanalysis . SailoR-package . SailoR.Indices . SailoR.Plot . SailoR.Table . Synthetic . UVError . WRF . 
Some associated R codes: SailoR.Indices.R . SailoR.Plot.R . SailoR.Table.R . UVError.R .  Full SailoR package functions and examples
Downloads during the last 30 days

Today's Hot Picks in Authors and Packages

modelwordcloud  
Model Word Clouds
Makes a word cloud of text, sized by the frequency of the word, and colored either by user-specified ...
Download / Learn more Package Citations See dependency  
BayesESS  
Determining Effective Sample Size
Determines effective sample size of a parametric prior distribution in Bayesian models. For a web-b ...
Download / Learn more Package Citations See dependency  
r2resize  
In-Text Resize for Images, Tables and Fancy Resize Containers in 'shiny', 'rmarkdown' and 'quarto' Documents
Automatic resizing toolbar for containers, images and tables. Various resizable or expandable contai ...
Download / Learn more Package Citations See dependency  
bbricks  
Bayesian Methods and Graphical Model Structures for Statistical Modeling
A set of frequently used Bayesian parametric and nonparametric model structures, as well as a set of ...
Download / Learn more Package Citations See dependency  
enrichwith  
Methods to Enrich R Objects with Extra Components
Provides the "enrich" method to enrich list-like R objects with new, relevant components. The curren ...
Download / Learn more Package Citations See dependency  

28,083

R Packages

239,283

Dependencies

74,457

Author Associations

28,084

Publication Badges

© Copyright since 2022. All right reserved, rpkg.net.  Based in Cambridge, Massachusetts, USA