Package: letsR 6.1

Bruno Vilela
letsR: Data Handling and Analysis in Macroecology
Handling, processing, and analyzing geographic data on species' distributions and environmental variables. Read Vilela & Villalobos (2015) <doi:10.1111/2041-210X.12401> for details.
Authors:
letsR_6.1.tar.gz
letsR_6.1.zip(r-4.7)letsR_6.1.zip(r-4.6)letsR_6.1.zip(r-4.5)
letsR_6.1.tgz(r-4.6-any)letsR_6.1.tgz(r-4.5-any)
letsR_6.1.tar.gz(r-4.7-any)letsR_6.1.tar.gz(r-4.6-any)
letsR_6.1.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
card.svg |card.png
letsR/json (API)
| # Install 'letsR' in R: |
| install.packages('letsR', repos = c('https://macroecology.r-universe.dev', 'https://cloud.r-project.org')) |
Bug tracker:https://github.com/macroecology/letsr/issues
Pkgdown/docs site:https://brunovilela.github.io
- IUCN - IUCN evaluation for frogs of the genus Phyllomedusa
- PAM - PresenceAbsence object for frogs of the genus Phyllomedusa
- Phyllomedusa - Phyllomedusa
- prec - Annual Precipitation raster for the world.
- temp - Mean temperature raster for the world.
- wrld_simpl - Simplified world country polygons
Last updated from:ab886f6e38. Checks:9 OK. Indexed: yes.
| Target | Result | Time | Files | Syslog |
|---|---|---|---|---|
| linux-devel-x86_64 | OK | 243 | ||
| source / vignettes | OK | 294 | ||
| linux-release-x86_64 | OK | 232 | ||
| macos-release-arm64 | OK | 277 | ||
| macos-oldrel-arm64 | OK | 189 | ||
| windows-devel | OK | 193 | ||
| windows-release | OK | 183 | ||
| windows-oldrel | OK | 202 | ||
| wasm-release | OK | 140 |
Exports:lets.addpolylets.addvarlets.attrcellslets.attrpamlets.classvarlets.correllets.distmatlets.envcellslets.envpamlets.fieldlets.gridirizerlets.iucncontlets.loadlets.maplizerlets.maplizer.attrlets.maplizer.envlets.midpointlets.overlaplets.pamcroplets.plot.attrcellslets.plot.attrpamlets.plot.envcellslets.plot.envpamlets.presablets.presab.birdslets.presab.gridlets.presab.grid.pointslets.presab.pointslets.rangesizelets.savelets.shFilterlets.subsetPAMlets.subsetPAMattlets.subsetPAMenvlets.summarizerlets.summaryze.cellslets.transf
Dependencies:classclassIntDBIe1071geosphereKernSmoothMASSproxyRcpps2sfterraunitswk
A guide to transform species distributions into a presence absence matrix based on a user-defined grid in R
Rendered fromA-guide-to-transform-species-distributions-into-a-presence-absence-matrix-based.Rmdusingknitr::rmarkdownon May 12 2026.Last update: 2026-03-25
Started: 2023-11-15
Adding variables to a PresenceAbsence object
Rendered fromAdding-variables-to-a-presenceabsence-object.Rmdusingknitr::rmarkdownon May 12 2026.Last update: 2026-03-25
Started: 2023-11-15
Cropping and subseting your presence absence matrix
Rendered fromcropping-and-subseting-your-presence-absence-matrix.Rmdusingknitr::rmarkdownon May 12 2026.Last update: 2026-03-25
Started: 2023-11-15
Cross-mapping biodiversity metrics across spaces
Rendered fromCross-mapping-biodiversity-metrics-Phyllomedusa.Rmdusingknitr::rmarkdownon May 12 2026.Last update: 2026-03-25
Started: 2025-10-17
Mapping species richness in attribute space
Rendered fromMapping-species-richness-in-attribute-space.Rmdusingknitr::rmarkdownon May 12 2026.Last update: 2026-03-27
Started: 2025-10-17
Mapping species richness in environmental space
Rendered fromMapping-species-richness-in-environmental-space.Rmdusingknitr::rmarkdownon May 12 2026.Last update: 2026-03-27
Started: 2025-07-07
Mapping species traits: community level analysis
Rendered frommapping-species-traits.Rmdusingknitr::rmarkdownon May 12 2026.Last update: 2026-03-25
Started: 2023-11-15
How to save and load a PresenceAbsence object
Rendered fromsave-load-presenceabsence.Rmdusingknitr::rmarkdownon May 12 2026.Last update: 2026-03-25
Started: 2023-11-15
Macroecological analysis at the species level
Rendered fromspecies-level-macroecological-analysis.Rmdusingknitr::rmarkdownon May 12 2026.Last update: 2026-03-25
Started: 2023-11-15