rangeModelMetadata (version 0.1.5)

rmmCheckValue: Check values of a range model metadata list against commonly used values

Description

Identify nonstandard values

Usage

rmmCheckValue(rmm, cutoff_distance = 3, returnData = F)

Value

Text describing identical, similar and non-matched values for rmm entities with suggested values. If returnData = T, a dataframe is returned containing 5 columns: field (the rmm entity), exact_match (values that appear correct), partial_match (values that are partial_match to common values), not_matched( values that are dissimilar from accepted values), partial_match_suggestions (suggested values for partial_match values).

Arguments

rmm

a range model metadata list

cutoff_distance

The maximum allowable similarity (Levenshtein (edit) distance) for use in fuzzy matching.

returnData

Should a dataframe containing information on matched and unmatched values be returned? Default is FALSE

Author

Cory Merow <[e-mail]>, Brian Maitner <[e-mail]>,

Details

See Examples.

See Also

Other check: rmmCheckEmpty(), rmmCheckFinalize(), rmmCheckMissingNames(), rmmCheckName(), rmmCleanNULLs()

Examples

rmm <- rmmTemplate() #First, we create an empty rmm template
rmm$data$environment$variableNames <- c("bio1", "bio 2", "bio3", "cromulent")
#We add 3 of the bioclim layers, including a spelling error (an extra space) in bio2,
# and a word that is clearly not a climate layer, 'cromulent'.
rmmCheckValue(rmm = rmm)
#Now, when we check the values, we see that bio1 and bio2 are reported as exact matches,
#while 'bio 2' is flagged as a partial match with a suggested value of 'bio2',
# and cromulent is flagged as not matched at all.
#If we'd like to return a dataframe containing this information in a perhaps more useful format:
rmmCheckValue_output <- rmmCheckValue(rmm = rmm, returnData = TRUE)