Nothing
## ----include=FALSE------------------------------------------------------------
knitr::opts_chunk$set(
collapse = TRUE,
comment = "#>"
)
## ----eval=FALSE---------------------------------------------------------------
# install.packages("eppoFindeR")
## ----eval=FALSE---------------------------------------------------------------
# # install.packages("devtools")
# devtools::install_github("openefsa/eppoFindeR")
## ----apiKeyExample, eval=FALSE------------------------------------------------
# taxon(c("BEMITA"), apiKey = "<your_eppo_api_key>")
## ----loadLibrary, eval=FALSE--------------------------------------------------
# library(eppoFindeR)
## ----eval=FALSE---------------------------------------------------------------
# help("<function_name>")
## ----eval=FALSE---------------------------------------------------------------
# help("taxon")
## ----taxonAllServices, eval=FALSE---------------------------------------------
# taxon(c("BEMITA"))
## ----toolsName2Codes, eval=FALSE----------------------------------------------
# tools(
# c("name2codes"), # The service to query (/tools/name2codes).
# params = list(
# name2codes = list(
# name = "Bemisia tabaci" # The required parameter.
# )
# )
# )
## ----queryService, eval=FALSE-------------------------------------------------
# taxon(c("BEMITA"), c("categorization"))
## ----queryServiceOutput, eval=FALSE-------------------------------------------
# $categorization
# # A tibble: 20 × 12
# queried_eppo_code continent_id continent_name country_iso country_name qlist qlist_label year_add
# <chr> <int> <chr> <chr> <chr> <chr> <chr> <int>
# 1 BEMITA 4 America CL Chile 1 A1 list 2019
# 2 BEMITA 2 Asia BH Bahrain 2 A2 list 2003
# 3 BEMITA 2 Asia KZ Kazakhstan 1 A1 list 2017
# 4 BEMITA 1 Europe AZ Azerbaijan 1 A1 list 2024
# 5 BEMITA 1 Europe BY Belarus X Quarantine… 1994
# 6 BEMITA 1 Europe GE Georgia 1 A1 list 2018
# 7 BEMITA 1 Europe MD Moldova, Repub… X Quarantine… 2017
# 8 BEMITA 1 Europe NO Norway X Quarantine… 2012
# 9 BEMITA 1 Europe RU Russian Federa… 2 A2 list 2014
# 10 BEMITA 1 Europe RS Serbia 1 A1 list 2015
# 11 BEMITA 1 Europe CH Switzerland 1 A1 list 2019
# 12 BEMITA 1 Europe TR Türkiye 2 A2 list 2016
# 13 BEMITA 1 Europe UA Ukraine 1 A1 list 2019
# 14 BEMITA 1 Europe GB United Kingdom 1 A1 list 2020
# 15 BEMITA 5 Oceania NZ New Zealand X Quarantine… 2000
# 16 BEMITA 6 RPPO/EU 9M EAEU 2 A2 list 2016
# 17 BEMITA 6 RPPO/EU 9A EPPO 2 A2 list 1989
# 18 BEMITA 6 RPPO/EU 9L EU P PZ Quarant… 2019
# 19 BEMITA 6 RPPO/EU 9L EU N A1 Quarant… 2019
# 20 BEMITA 6 RPPO/EU 9H OIRSA 2 A2 list 1992
# # ℹ 4 more variables: year_delete <lgl>, year_transient <lgl>, queried_url <chr>, queried_on <dttm>
## ----queryWhole, eval=FALSE---------------------------------------------------
# data <- taxon(c("BEMITA"))
## ----queryAllOutput, eval=FALSE-----------------------------------------------
# # Print the names of the services in the result.
# names(data)
# [1] "overview" "infos" "names" "taxonomy"
# [5] "categorization" "kingdom" "hosts" "pests"
# [9] "vectors" "vectorof" "bca" "bcaof"
# [13] "photos" "reporting_articles" "documents" "standards"
# [17] "distribution"
#
# # Print the data from a specific service.
# data$overview
# # A tibble: 1 × 11
# queried_eppo_code eppocode datecreate lastupdate infos replacedby prefname is_active datatype
# <chr> <chr> <chr> <chr> <lgl> <lgl> <chr> <lgl> <chr>
# 1 BEMITA BEMITA 2002-10-28 00:00:… 2002-10-2… NA NA Bemisia… TRUE GAI
# # ℹ 2 more variables: queried_url <chr>, queried_on <dttm>
## ----eval=FALSE---------------------------------------------------------------
# data <- taxon(c("BEMITA"), c("taxonomy"))
## ----uniformTaxonomy, eval=FALSE----------------------------------------------
# taxonomy <- uniformTaxonomy(data$taxonomy)
## ----uniformTaxonomyOutput, eval=FALSE----------------------------------------
# # A tibble: 11 × 6
# type queried_eppo_code eppocode prefname queried_url queried_on
# <chr> <chr> <chr> <chr> <chr> <dttm>
# 1 Kingdom BEMITA 1ANIMK Animalia https://api.eppo.int/gd/v2/… 2025-11-18 14:29:50
# 2 Phylum BEMITA 1ARTHP Arthropoda https://api.eppo.int/gd/v2/… 2025-11-18 14:29:50
# 3 Subphylum BEMITA 1HEXAQ Hexapoda https://api.eppo.int/gd/v2/… 2025-11-18 14:29:50
# 4 Class BEMITA 1INSEC Insecta https://api.eppo.int/gd/v2/… 2025-11-18 14:29:50
# 5 Subclass NA NA NA NA NA
# 6 Order BEMITA 1HEMIO Hemiptera https://api.eppo.int/gd/v2/… 2025-11-18 14:29:50
# 7 Suborder BEMITA 1STERR Sternorrhyncha https://api.eppo.int/gd/v2/… 2025-11-18 14:29:50
# 8 Family BEMITA 1ALEYF Aleyrodidae https://api.eppo.int/gd/v2/… 2025-11-18 14:29:50
# 9 Subfamily NA NA NA NA NA
# 10 Genus BEMITA 1BEMIG Bemisia https://api.eppo.int/gd/v2/… 2025-11-18 14:29:50
# 11 Species BEMITA BEMITA Bemisia tabaci https://api.eppo.int/gd/v2/… 2025-11-18 14:29:50
## ----multipleEPPOCodes, eval=FALSE--------------------------------------------
# data <- taxon(c("BEMITA", "GOSHI"))
## ----multipleEPPOCodesOutput, eval=FALSE--------------------------------------
# # Print the names of the services in the result.
# names(data)
# [1] "overview" "infos" "names" "taxonomy"
# [5] "categorization" "kingdom" "hosts" "pests"
# [9] "vectors" "vectorof" "bca" "bcaof"
# [13] "photos" "reporting_articles" "documents" "standards"
# [17] "distribution"
#
# # Print the data from a specific service.
# data$overview
# # A tibble: 2 × 11
# queried_eppo_code eppocode datecreate lastupdate infos replacedby prefname is_active datatype
# <chr> <chr> <chr> <chr> <chr> <lgl> <chr> <lgl> <chr>
# 1 BEMITA BEMITA 2002-10-28 00:00:… 2002-10-2… NA NA Bemisia… TRUE GAI
# 2 GOSHI GOSHI 2004-04-21 00:00:… 2004-04-2… <p>M… NA Gossypi… TRUE PFL
# # ℹ 2 more variables: queried_url <chr>, queried_on <dttm>
Any scripts or data that you put into this service are public.
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.