FLs: Fidelity Level (FL)

In ethnobotanyR: Calculate Quantitative Ethnobotany Indices

Fidelity Level (FL)

Description

Calculates the fidelity level (FL) of the various uses of a species, i.e. the ratio between the number of informants who independently cite the use of a species for the same purposes (Ns * 100) and the total number of informants who mentioned the plant for any use (FCs).

Usage

FLs(data)

Arguments

data	is an ethnobotany data set with column 1 'informant' and 2 'sp_name' as row identifiers of informants and of species names respectively. The rest of the columns are the identified ethnobotany use categories. The data should be populated with counts of uses per person (should be 0 or 1 values).

Value

Data frame of species and fidelity level (FL) values.

Warning

Identification for informants and species must be listed by the names 'informant' and 'sp_name' respectively in the data set. The rest of the columns should all represent separate identified ethnobotany use categories. These data should be populated with counts of uses per informant (should be 0 or 1 values).

References

Friedman, J., Z. Yaniv, A. Dafni, and D. Palewitch. 1986. “A Preliminary Classification of the Healing Potential of Medicinal Plants, Based on a Rational Analysis of an Ethnopharmacological Field Survey Among Bedouins in the Negev Desert, Israel.” Journal of Ethnopharmacology 16 (2-3): 275–87.

Examples

#Use built-in ethnobotany data example
FLs(ethnobotanydata)
#returns the primary use category (Primary.use) and the FLs value

#Generate random dataset of three informants uses for four species

eb_data <- data.frame(replicate(10,sample(0:1,20,rep=TRUE)))
names(eb_data) <- gsub(x = names(eb_data), pattern = "X", replacement = "Use_")  
eb_data$informant <- sample(c('User_1', 'User_2', 'User_3'), 20, replace=TRUE)
eb_data$sp_name <- sample(c('sp_1', 'sp_2', 'sp_3', 'sp_4'), 20, replace=TRUE)

FLs(eb_data)

ethnobotanyR documentation built on Dec. 28, 2022, 2:15 a.m.