consistency: Assess Consistency

In ecodata1/whpt: Predict WHPT scores

Assess Consistency

Description

Assess observed WHPT scores against consistency rules taking into account the expected class.

Usage

consistency(data)

Arguments

data

Dataframe location_id Location ID - unique identifer for location sample_id Sample ID - unique identifer for sample question Question - either ⁠WHPT ASPT Abund⁠ or ⁠WHPT NTAXA Abund⁠ response Response value to question NGR National Grid Reference - Great Britain only date_taken Date as character class in 2012-12-31 format only SX Coordinated where GIS predictors come from SY Coordinated where GIS predictors come from EX Coordinated where GIS predictors queried EY Coordinated where GIS predictors queried Altitude Altitude in metres d_f_source Distance from source in metres logaltbar Log altitude in metres of catchment upstream log_area Log area of catchment upstream in km squared disch_cat Discharge category slope Slope in m / km chalk Proporation of chalk in catchment clay Proporation of clay in catchment hardrock Proporation of hardrock in catchment limestone Proporation of limestone in catchment peat Proporation of peat in catchment shape_Length Length of the river section represented in GIS layer Reported WHPT Class Year Reported WHPT Class Year Typical ASPT Class Typical expected ASPT Class for this location Typical NTAXA Class Typical expected NTAXA Class for this location quality_element The type of element being assessed in this case 'River Invertebrates' index The index being predicted in this case 'Reference ASPT' or 'Reference NTAXA' predicted_response The predicted response in this case the predicted NTAXA and ASPT

Value

Dataframe provides three outputs in three columns:

sample_id

Sample ID - unique identifer for sample

assessment

Name of the three assessments completed: assessment, driver and action. assessment identifies if the overall whpt result is ⁠Likely problem detected⁠, ⁠Possible cause for concern⁠, ⁠Better than expected⁠ or ⁠As expected⁠. The driver identifies whether NTAXA, ASPT or neither are driving the assessment. The action is the recommended action to take: ⁠No action required⁠, ⁠Non-urgent discussion...⁠, ⁠Urgent discussion..⁠

value

Associated value to the assessment column i.e. the output of the assessment

Examples

predictions <- whpt_predict(demo_data)
data <- dplyr::bind_rows(demo_data, predictions)
assessments <- consistency(data)

ecodata1/whpt documentation built on Sept. 27, 2024, 9:02 p.m.