Package: rtry 1.1.0

Olee Hoi Ying Lam

rtry: Preprocessing Plant Trait Data

Designed to support the application of plant trait data providing easy applicable functions for the basic steps of data preprocessing, e.g. data import, data exploration, selection of columns and rows, excluding trait data according to different attributes, geocoding, long- to wide-table transformation, and data export. 'rtry' was initially developed as part of the TRY R project to preprocess trait data received via the TRY database.

Authors:Olee Hoi Ying Lam [aut, cre], Susanne Tautenhahn [aut], Gabriel Walther [aut], Gerhard Boenisch [aut], Pramod Baddam [aut], Jens Kattge [aut], Fellowship Group Functional Biogeography at MPI-BGC, Jena, Germany [cph]

rtry_1.1.0.tar.gz
rtry_1.1.0.zip(r-4.7)rtry_1.1.0.zip(r-4.6)rtry_1.1.0.zip(r-4.5)
rtry_1.1.0.tgz(r-4.6-any)rtry_1.1.0.tgz(r-4.5-any)
rtry_1.1.0.tar.gz(r-4.7-any)rtry_1.1.0.tar.gz(r-4.6-any)
rtry_1.1.0.tgz(r-4.6-emscripten)
manual.pdf |manual.html✨
DESCRIPTION |NEWS
card.svg |card.png
rtry/json (API)

# Install 'rtry' in R:
install.packages('rtry', repos = c('https://mpi-bgc-functional-biogeography.r-universe.dev', 'https://cloud.r-project.org'))

Bug tracker:https://github.com/mpi-bgc-functional-biogeography/rtry/issues

Datasets:

On CRAN:

Conda:

6.29 score 26 stars 50 scripts 398 downloads 17 exports 23 dependencies

Last updated from:f15ed71599. Checks:7 NOTE, 2 OK. Indexed: yes.

TargetResultTimeFilesSyslog
linux-devel-x86_64NOTE133
source / vignettesOK180
linux-release-x86_64NOTE133
macos-release-arm64NOTE130
macos-oldrel-arm64NOTE202
windows-develNOTE95
windows-releaseNOTE91
windows-oldrelNOTE102
wasm-releaseOK105

Exports:%>%rtry_bind_colrtry_bind_rowrtry_excludertry_explorertry_exportrtry_geocodingrtry_importrtry_join_leftrtry_join_outerrtry_remove_colrtry_remove_duprtry_revgeocodingrtry_select_ancrtry_select_colrtry_select_rowrtry_trans_wider

Dependencies:clicpp11curldata.tabledplyrgenericsgluejsonlitelifecyclemagrittrpillarpkgconfigpurrrR6rlangstringistringrtibbletidyrtidyselectutf8vctrswithr

Workflow for general data preprocessing using rtry
Prepare the workflow environment | Import TRY data | Explore the imported data | Bind imported data by rows | Select columns | Select rows | Save and load backup data | Exclude (remove) data | Exclude (remove) observations of juvenile plants or saplings | Exclude observations without geo-referenced information and from irrelevant regions | Exclude non-representative sub-traits | Exclude data according to standard values (StdValue) | Exclude outliers according to error risk (ErrorRisk) | Remove duplicates based on duplicate identifier (OrigObsDataID) | Transform to wide table | Export preprocessed TRY data
Rendered fromrtry-workflow-general.Rmdusingknitr::rmarkdown

Last update: 2023-08-09
Started: 2021-06-14

Introduction to rtry
Overview | The TRY data format | The 'rtry' package | Sources of 'rtry' | R environment | Memory requirement | Installation guide | Update the 'rtry' package | R commands to retrieve information about the package | Check 'rtry' version | Obtain documentations of the 'rtry' package | Obtain documentation for a specific function | Obtain documentation for the sample data | Obtain vignettes of the package | Functionality of the 'rtry' package | Function default arguments | Functions within the 'rtry' package | Handling of data within 'rtry' | Sample datasets within the 'rtry' package | Copyright license | References
Rendered fromrtry-introduction.Rmdusingknitr::rmarkdown

Last update: 2023-08-03
Started: 2021-07-27

Workflow for geocoding using rtry
Prepare the workflow environment | Use 'rtry' for geocoding | Use 'rtry' for reverse geocoding
Rendered fromrtry-workflow-geocoding.Rmdusingknitr::rmarkdown

Last update: 2022-01-15
Started: 2021-04-12