assessment_list_glance {fqar}

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 52 columns:

• 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)