treat_LORs_all_data {CalcThemAll.PRM}R Documentation

Treat a whole data set's LOR values

Description

Treat a whole data set's LOR values

Usage

treat_LORs_all_data(
  raw_data,
  pesticide_info = CalcThemAll.PRM::pesticide_info,
  wet_season_split = 7,
  treatment_method = "WQI"
)

Arguments

raw_data

A data set of raw pesticide concentration values in individual columns that match the pesticide names in the "pesticide_info" data frame. This data set should also include a "Date" column and "Site Name" column. A reference data set can be seen in the "Canto_pesticides" data frame provided in this package, your data should mirror these column headings.

pesticide_info

The reference table which contains all relevant information for calculations. It is recommended that the "pesticide_info" data set included in this package be used and if you wish to include more or less pesticides you can appended them with the relevant information to this table. If you are creating your own table you must ensure that the pesticide name column is title "pesticides" and the relative LOR replacement column is "relative_LOR" for the function to run.

wet_season_split

The first month of the sampling year in numeric e.g. July = 7. July (7) is used as the default as this is the first month of the Queensland wet season. This is only required for the LOR replacement method and if needed.

treatment_method

Select how to treat the LOR values with either the default "WQI" representing the Queensland Department of Environment & Science Water Quality Monitoring & Investigations team's method for replacing LORs or "Zero" which replaces them with a negligible numeric value.

Value

returns the raw_data frame with the LOR values replaced by their specified treatment values. PRM calculations can now be run on the returned data.

Examples

Canto_pesticides_LOR_treated <- treat_LORs_all_data(raw_data = Canto_pesticides,
pesticide_info = CalcThemAll.PRM::pesticide_info)
head(Canto_pesticides_LOR_treated)


[Package CalcThemAll.PRM version 1.1.1 Index]