rvertnet (version 0.8.4)

traitsearch: Trait focused search

Description

Trait focused search

Usage

traitsearch(
  taxon = NULL,
  has_mass = FALSE,
  has_length = FALSE,
  has_sex = FALSE,
  has_lifestage = FALSE,
  length_type = NULL,
  length = NULL,
  mass = NULL,
  limit = 1000,
  compact = TRUE,
  messages = TRUE,
  callopts = list(),
  ...
)

Value

a list, same as returned by vertsearch, with data in the data slot

Arguments

taxon

(character) Taxonomic identifier or other text to search for

has_mass

(logical) limit to records that have mass data (stored in massing). Default: FALSE

has_length

(logical) limit to records that have length data (stored in lengthinmm). Default: FALSE

has_sex

(logical) limit to records that have sex data (stored in sex). Default: FALSE

has_lifestage

(logical) limit to records that have lifestage data (stored in lifestage). Default: FALSE

length_type

(character) length type, one of 'total length', 'standard length', 'snout-vent length', 'head-body length', 'fork length', 'total length range', 'standard length range', 'snout-vent length range', 'head-body length range', 'fork length range'. (stored in lengthtype) Default: NULL

length

(list) list of query terms for length, e.g., "< 100"

mass

(list) list of query terms for mass, e.g., "< 100"

limit

(numeric) Limit on the number of records returned. If >1000 results, we use a cursor internally, but you should still get up to the results you asked for. See also bigsearch to get larger result sets in a text file via email.

compact

Return a compact data frame (boolean)

messages

Print progress and information messages. Default: TRUE

callopts

curl options in a list passed on to HttpClient, see examples

...

(character) Additional search terms. These must be unnamed

Details

Wraps vertsearch, with some of the same parameters, but with additional parameters added to make querying for traits easy.

Examples

if (FALSE) {
traitsearch(has_mass = TRUE, limit = 3)
traitsearch(has_lifestage = TRUE)
traitsearch(has_mass = TRUE, has_length = TRUE)
res <- traitsearch(length_type = "total length",
  length = list(">= 300", "<= 1000"))
summary(as.numeric(res$data$lengthinmm))
res <- traitsearch(has_mass = TRUE, mass = list(">= 20", "<= 500"))
summary(as.numeric(res$data$massing))

traitsearch(taxon = "aves", has_mass = TRUE, limit = 100)
}