| assessExcCounts {irTools} | R Documentation |
Performs site level (site-parameter-use-criterion specific) water quality assessments based on sample & exceedance counts by applying IR method flowcharts with user specified inputs.
assessExcCounts(data, min_n, max_exc_count = NA, max_exc_pct = NA, max_exc_count_id = NA, max_exc_pct_id = NA, id_cols = c())
data |
Site-use-parameter-criterion specific sample and exceedance counts(i.e. output from countExceedances() ) |
min_n |
Minimum sample size for sufficient data assessment (sample counts >= min_n are considered sufficient) |
max_exc_count |
Maximum allowable exceedance count for full support (exceedance counts > max_exc_count are considered not supporting) - one of max_exc_count or max_exc_pct must be specified |
max_exc_pct |
Maximum allowable exceedance percentage for full support (exceedance pcts > max_exc_pct are considered not supporting - one of max_exc_count or max_exc_pct must be specified |
max_exc_count_id |
Maximum allowable exceedance count for insufficient data with exceedances (for sites/parameters with insufficient data, exceedance counts > max_exc_count_id are considered insufficient data with exceedances) - one of max_exc_count_id or max_exc_pct_id must be specified |
max_exc_pct_id |
Maximum allowable exceedance percentage for insufficient data with exceedances (for sites/parameters with insufficient data, exceedance pcts > max_exc_count_id are considered insufficient data with exceedances) - one of max_exc_count_id or max_exc_pct_id must be specified |
When percentage arguments are supplied, specified percentages are used to calculate the maximum allowable number of whole samples exceeding a standard for that site/parameter to be considered supporting. Note that the min_n argument is >= and all other arguments are >.
Returns input data frame with site-use-parameter-criterion specific assessment categories appended.