calculateHumanInfluence: Calculate human influence metrics

In jasonelaw/nrsa: Calculate metrics for NRSA protocol data.

Description

This function calculates the human influence metrics. The parameter names are assumed to be in lower case. Missing data is not allowed and will result in an error.

Usage

calculateHumanInfluence(uid, parameter, result, na.rm = F)

Arguments

uid	a vector that differentiates among sites or site visits. Metrics will be calculated for each value of uid.
parameter	a vector of parameter names for the 11 human influence parameters: must be one of "row", "past", "build", "landfl", "log", "mine", "park", "pave", "row", "pipes", "road", or "wall".
result	a vector of results 0 (not present), P (present > 10 m), C (present < 10 m), B (present on bank).

Value

returns a dataframe with three columns: uid, metric, result

Examples

hi <- expand.grid(uid = 1:1000, transect = letters[1:10], 
                 parameter = c("wall", "build", "pave", "road", "pipes", "landfl", "park", 
                               "row", "past", "log", "mine"))
hi$result <- sample(c('0', 'C', 'B', 'P'), size = 11 * 10 * 1000, replace = T)
calculateHumanInfluence(hi$uid, hi$parameter, hi$result)

jasonelaw/nrsa documentation built on Nov. 8, 2019, 11:34 a.m.