Other packages > Find by keyword >

FactorsR  

Identification of the Factors Affecting Species Richness
View on CRAN: Click here


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

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

Install by package version:
library("remotes")
install_version("FactorsR", "1.5")



Attach the package and use:
library("FactorsR")
Maintained by
Cstor Guisande Gonzlez
[Scholar Profile | Author Map]
All associated links for this package
First Published: 2017-02-17
Latest Update: 2023-10-20
Description:
It identifies the factors significantly related to species richness, and their relative contribution, using multiple regressions and support vector machine models. It uses an output file of 'ModestR' with data of richness of the species and environmental variables in a cell size defined by the user. The residuals of the support vector machine model are shown on a map. Negative residuals may be potential areas with undiscovered and/or unregistered species, or areas with decreased species richness due to the negative effect of anthropogenic factors.
How to cite:
Cstor Guisande Gonzlez (2017). FactorsR: Identification of the Factors Affecting Species Richness. R package version 1.5, https://cran.r-project.org/web/packages/FactorsR. Accessed 21 Nov. 2024.
Previous versions and publish date:
1.1 (2017-02-17 14:38), 1.2 (2017-09-06 14:21), 1.3 (2018-12-06 22:51), 1.4 (2019-02-04 23:13), 1.5 (2022-03-01 17:00)
Other packages that cited FactorsR R package
View FactorsR citation profile
Other R packages that FactorsR depends, imports, suggests or enhances
Functions, R codes and Examples using the FactorsR R package
Some associated functions: Factors . Sharks . adworld . 
Some associated R codes: Factors.R .  Full FactorsR package functions and examples
Downloads during the last 30 days
Get rewarded with contribution points by helping add
Reviews / comments / questions /suggestions ↴↴↴

Today's Hot Picks in Authors and Packages

SCBiclust  
Identifies Mean, Variance, and Hierarchically Clustered Biclusters
Identifies a bicluster, a submatrix of the data such that the features and observations within the s ...
Download / Learn more Package Citations See dependency  
RcppHNSW  
'Rcpp' Bindings for 'hnswlib', a Library for Approximate Nearest Neighbors
'Hnswlib' is a C++ library for Approximate Nearest Neighbors. This package provides a minimal R int ...
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  
deductive  
Data Correction and Imputation Using Deductive Methods
Attempt to repair inconsistencies and missing values in data records by using information from vali ...
Download / Learn more Package Citations See dependency  
kgschart  
KGS Rank Graph Parser
Restore underlining numeric data from rating history graph of KGS (an online platform of the game o ...
Download / Learn more Package Citations See dependency  
pkgdepends  
Package Dependency Resolution and Downloads
Find recursive dependencies of 'R' packages from various sources. Solve the dependencies to obtain ...
Download / Learn more Package Citations See dependency  

23,229

R Packages

199,929

Dependencies

62,984

Author Associations

23,230

Publication Badges

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