calculate_daily_average_PRM {CalcThemAll.PRM}

Calculate Daily Average Pesticide Risk Metric Values For Each Pesticide Type

Description

Calculate Daily Average Pesticide Risk Metric Values For Each Pesticide Type

Usage

calculate_daily_average_PRM(
  LOR_treated_data,
  include_PAF = FALSE,
  pesticide_info = CalcThemAll.PRM::pesticide_info
)

Arguments

LOR_treated_data

A data set of LOR treated 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", "Sampling Year" and "Site Name" column.

include_PAF

If "TRUE" Percentage Affected Fraction values are included in the output along with Daily PRM in a list format. These values can be useful for plotting relative individual pesticide contribution to overall PRM, however most will not need this so default is "FALSE".

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 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 "pesticide" and the relative LOR replacement column is "relative_LOR" for the function to run.

Value

If include_PAF is "FALSE" returns a data frame of daily average PRM values for each pesticide type for each sample. Wet season average calculations can be run on the returned data. If include_PAF is "TRUE" returns a list with daily PRM values in a data frame as the first object and a data frame of PAF values as the second object.

Examples

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