CalcThemAll.PRM (version 1.1.1)

Log_Normal_Log_Normal_Formula: Log-Normal Log-Normal (double curve) CDF Equation Formula

Description

Log-Normal Log-Normal (double curve) CDF Equation Formula

Usage

Log_Normal_Log_Normal_Formula(
  concentration,
  shape_location,
  scale,
  shape_location_2,
  scale_2,
  weight
)

Value

a numeric vector

Arguments

concentration

The vector of concentration values for a selected pesticide, that has a Log Normal Log Normal species sensitivity distribution, to run the equation on.

shape_location

The mu/shape value for the first Log Normal equation for the selected pesticide. These can be found in the "pesticide_info" data frame provided in this package. If you are including other pesticides you will need to append them with their respective distribution variables to the "pesticide_info" table.

scale

The sigma/scale value for the first Log Normal equation for the selected pesticide. These can be found in the "pesticide_info" data frame provided in this package. If you are including other pesticides you will need to append them with their respective distribution variables to the "pesticide_info" table.

shape_location_2

The mu/shape value for the second Log Normal equation for the selected pesticide. These can be found in the "pesticide_info" data frame provided in this package. If you are including other pesticides you will need to append them with their respective distribution variables to the "pesticide_info" table.

scale_2

The sigma/scale value for the second Log Normal equation for the selected pesticide. These can be found in the "pesticide_info" data frame provided in this package. If you are including other pesticides you will need to append them with their respective distribution variables to the "pesticide_info" table.

weight

The weight parameter for combining the two equations for the selected pesticide. These can be found in the "pesticide_info" data frame provided in this package. If you are including other pesticides you will need to append them with their respective distribution variables to the "pesticide_info" table.

Examples

#This Example should produce roughly 1% and 5% PRM values
LogN_LogN_pesticide_concentrations <- c(4.79E-05, 0.000225588)
Log_Normal_Log_Normal_Formula(concentration = LogN_LogN_pesticide_concentrations,
shape_location = -5.596431, scale = 2.061943,
shape_location_2 = 0.01174954, scale_2 = 0.9134796, weight = 0.5733126)