assessment_list_glance: Obtain tidy summary information for multiple floristic...

View source: R/assessment_list_glance.R

assessment_list_glanceR Documentation

Obtain tidy summary information for multiple floristic quality assessments

Description

assessment_list_glance() tidies a list of floristic quality assessment data sets obtained from universalfqa.org, returning summary information as a single data frame.

Usage

assessment_list_glance(assessment_list)

Arguments

assessment_list

A list of data sets downloaded from universalfqa.org, typically using download_assessment_list().

Value

A data frame with 53 columns:

  • assessment_id (numeric)

  • title (character)

  • date (date)

  • site_name (character)

  • city (character)

  • county (character)

  • state (character)

  • country (character)

  • fqa_db_region (character)

  • fqa_db_publication_year (character)

  • fqa_db_description (character)

  • custom_fqa_db_name (character)

  • custom_fqa_db_description (character)

  • practitioner (character)

  • latitude (character)

  • longitude (character)

  • weather_notes (character)

  • duration_notes (character)

  • community_type_notes (character)

  • other_notes (character)

  • private_public (character)

  • total_mean_c (numeric)

  • native_mean_c (numeric)

  • total_fqi (numeric)

  • native_fqi (numeric)

  • adjusted_fqi (numeric)

  • c_value_zero (numeric) Percent of c-values 0

  • c_value_low (numeric) Percent of c-values 1-3

  • c_value_mid (numeric) Percent of c-values 4-6

  • c_value_high (numeric) Percent of c-values 7-10

  • native_tree_mean_c (numeric)

  • native_shrub_mean_c (numeric)

  • native_herbaceous_mean_c (numeric)

  • total_species (numeric)

  • native_species (numeric)

  • non_native_species

  • mean_wetness (numeric)

  • native_mean_wetness (numeric)

  • tree (numeric)

  • shrub (numeric)

  • vine (numeric)

  • forb (numeric)

  • grass (numeric)

  • sedge (numeric)

  • rush (numeric)

  • fern (numeric)

  • bryophyte (numeric)

  • annual (numeric)

  • perennial (numeric)

  • biennial (numeric)

  • native_annual (numeric)

  • native_perennial (numeric)

  • native_biennial (numeric)

Examples

# While assessment_list_glance can be used with a list of .csv file downloaded
# manually from the universal FQA website, it is most typically used
# in combination with download_assessment_list().


maine <- download_assessment_list(database = 56)
assessment_list_glance(maine)



fqar documentation built on June 22, 2025, 1:06 a.m.