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Open Sustainable Technology

A curated list of open technology projects to sustain a stable climate, energy supply, biodiversity and natural resources.

letsR

Allow users to build presence-absence matrices, the primary analytical tool in macroecology, from species' geographical distributions and merge them with species' traits, conservation information and spatial environmental layers.
https://github.com/macroecology/letsr

Category: Biosphere
Sub Category: Biodiversity Analysis and Metrics

Last synced: about 20 hours ago
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Tools for data handling and analysis in macroecology

README.md

R-CMD-check
CRAN_Status_Badge
rstudio mirror downloads
rstudio mirror downloads
Research software impact

letsR

The package

The letsR package is being developed to help researchers handle, process, and analyze macroecological data. It aims to integrate these methodological processes into a single software platform for macroecological analyses. The package's main functions allow users to build presence-absence matrices, the primary analytical tool in macroecology, from species' geographical distributions and merge them with species' traits, conservation information and spatial environmental layers. In addition, other packages' functions enable users to summarize and visualize data from presence-absence matrices.

All functions in this package use a prefix and a suffix separated by a dot; the prefix refers to the package's name, and the suffix to the actual function. This nomenclature avoids confusion with potentially similarly-named functions from other R packages.
For instance, the letsR function used to create presence-absence matrices is called lets.presab (but see also lets.presab.birds and lets.presab.points), whereas the one used to add variables to a presence-absence matrix is called lets.addvar.
The package's primary functions create and work on a particular S3 object class called PresenceAbsence.
Such PresenceAbsence object class allows storing information beyond presence-absence data (e.g. user-defined grid-cell system) and using the generic plot, summary and print functions of R.
Also, some package's functions allow the user to input customary R objects (e.g. vector, matrix, data.frame).

The letsR package is in continuous development, and suggestions are more than welcome!

We hope you enjoy it and find it helpful.

Package publication

https://besjournals.onlinelibrary.wiley.com/doi/abs/10.1111/2041-210X.12401

Install

Install letsR from CRAN

install.packages("letsR")
library("letsR")

Install letsR developers version from github

install.packages("devtools")
library(devtools)
install_github("macroecology/letsR")
library(letsR)

OBS.: To download the developers version you will need to have the git software installed (https://git-scm.com/).
If you are a windows user you will also need to download the Rtools (https://cran.r-project.org/bin/windows/Rtools/).

Note

Due to changes in the IUCN API and limitations in data distribution established by IUCN terms of use, we are no longer maintaining the functions lets.iucn, lets.iucn.hist and lets.iucn.ha. These functions will be removed from the package in the next version. We apologize for any inconvenience this may cause.

Owner metadata

GitHub Events

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Committers metadata

Last synced: 6 days ago

Total Commits: 322
Total Committers: 9
Avg Commits per committer: 35.778
Development Distribution Score (DDS): 0.199

Commits in past year: 6
Committers in past year: 2
Avg Commits per committer in past year: 3.0
Development Distribution Score (DDS) in past year: 0.333

Name Email Commits
Bruno Vilela de Moraes e Silva b****a@h****m 258
Fabricio Villalobos f****s@g****m 45
Bruno Vilela b****a@B****l 6
Bruno Vilela b****a@b****u 3
Bruno Vilela b****a@B****l 3
LuisDVA l****d@c****x 2
Sara Varela s****a@p****g 2
Fabricio Villalobos f****o@M****l 2
Bruno Vilela b****a@l****l 1

Committer domains:

Issue and Pull Request metadata

Last synced: 2 days ago

Total issues: 15
Total pull requests: 5
Average time to close issues: 3 months
Average time to close pull requests: over 1 year
Total issue authors: 12
Total pull request authors: 4
Average comments per issue: 1.93
Average comments per pull request: 1.0
Merged pull request: 2
Bot issues: 0
Bot pull requests: 0

Past year issues: 4
Past year pull requests: 1
Past year average time to close issues: 8 days
Past year average time to close pull requests: N/A
Past year issue authors: 2
Past year pull request authors: 1
Past year average comments per issue: 1.25
Past year average comments per pull request: 0.0
Past year merged pull request: 0
Past year bot issues: 0
Past year bot pull requests: 0

More stats: https://issues.ecosyste.ms/repositories/lookup?url=https://github.com/macroecology/letsr

Top Issue Authors

  • zbyxinalice03 (3)
  • jpramirez10 (2)
  • Marialejandra (1)
  • cmzambranat (1)
  • queziaramalho (1)
  • jenifferteles (1)
  • boris191055 (1)
  • rsbivand (1)
  • maxfarrell (1)
  • VirginiaMorera (1)
  • rhijmans (1)
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Top Pull Request Authors

  • luisDVA (2)
  • tpoisot (1)
  • SaraVarela (1)
  • Rekyt (1)

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Dependencies

DESCRIPTION cran
  • R >= 3.1.0 depends
  • maps * depends
  • raster * depends
  • XML * imports
  • fields * imports
  • geosphere * imports
  • maptools * imports
  • methods * imports
  • rgdal * imports
  • rgeos * imports
  • sp * imports
  • devtools * suggests
  • testthat * suggests
.github/workflows/R-CMD-check.yaml actions
  • actions/checkout v2 composite
  • r-lib/actions/check-r-package v2 composite
  • r-lib/actions/setup-pandoc v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite
.github/workflows/test-coverage.yaml actions
  • actions/checkout v2 composite
  • r-lib/actions/setup-r v2 composite
  • r-lib/actions/setup-r-dependencies v2 composite

Score: 5.662960480135946