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 25 Jun. 2026.
Previous versions and publish date:
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

airGRiwrm  
'airGR' Integrated Water Resource Management
Semi-distributed Precipitation-Runoff Modelling based on 'airGR' package models integrating human i ...
Download / Learn more Package Citations See dependency  
foster  
Forest Structure Extrapolation with R
Set of tools to streamline the modeling of the relationship betweensatellite imagery time series or ...
Download / Learn more Package Citations See dependency  
sitmo  
Parallel Pseudo Random Number Generator (PPRNG) 'sitmo' Header Files
Provided within are two high quality and fast PPRNGs that may be used in an 'OpenMP' parallel enviro ...
Download / Learn more Package Citations See dependency  
edeaR  
Exploratory and Descriptive Event-Based Data Analysis
Exploratory and descriptive analysis of event based data. Provides methods for describing and select ...
Download / Learn more Package Citations See dependency  
quickcode  
Quick and Essential 'R' Tricks for Better Scripts
The NOT functions, 'R' tricks and a compilation of some simple quick plus often used 'R' codes to im ...
Download / Learn more Package Citations See dependency  

27,535

R Packages

236,180

Dependencies

73,223

Author Associations

27,536

Publication Badges

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