boundaries: Functions to calculate boundary nutrient concentrations

In andrewdolman/ecostattoolkit: An R package to implement and test the ECOSTAT toolkit for estimating nutrient boundaries

Description

Functions to calculate boundary nutrient concentrations

Usage

boundaries_all(data, yvar = "y.u", xvar = "x.u", status_boundaries = c(HG
  = 0.8, GM = 0.6, MP = 0.4), class_var = "status")

boundaries_ols(data, yvar = "y.u", xvar = "x.u", status_boundaries = c(HG
  = 0.8, GM = 0.6, MP = 0.4))

boundaries_ols_XonY(data, yvar = "y.u", xvar = "x.u",
  status_boundaries = c(HG = 0.8, GM = 0.6, MP = 0.4))

boundaries_RMA(data, yvar = "y.u", xvar = "x.u", status_boundaries = c(HG
  = 0.8, GM = 0.6, MP = 0.4))

boundaries_MM(data, yvar = "y.u", xvar = "x.u", status_boundaries = c(HG =
  0.8, GM = 0.6, MP = 0.4))

boundaries_AdjQ(data, yvar = "y.u", xvar = "x.u", class_var = "status")

boundaries_medians(data, yvar = "y.u", xvar = "x.u", class_var = "status")

boundaries_q75(data, yvar = "y.u", xvar = "x.u", class_var = "status")

Arguments

data	Appropriate water quality data for estimating nutrient status boundaries
yvar	The name of the response variable, typically EQR. Defaults to y.u
xvar	The name of the pressure variable, e.g. total phosphorus. Defaults to x.u
status_boundaries	A named vector of status boundaries on the scale of yvar. Default contains 0.8, 0.6 and 0.4 for the High-Good, Good-Moderate and Moderate-Poor boundaries
class_var	name of variable defining status classes. Defaults to "status".

Value

a named vector of estimated nutrient boundaries on the scale of xvar

Functions

• boundaries_all: A wrapper function to estimate boundaries using all methods

• boundaries_ols: Estimates nutrient boundaries using ordinary-least-squares

• boundaries_ols_XonY: Estimates nutrient boundaries using ordinary-least-squares

• boundaries_RMA: Estimates nutrient boundaries using Ranged Major Axis regression.

• boundaries_MM: Estimates nutrient boundaries using the "mismatch" method of minimising the difference between two types of missclassification.

• boundaries_AdjQ: Estimates nutrient boundaries using the "adjusted quartiles" method.

• boundaries_medians: Estimates nutrient boundaries as the mean of the median concentrations in adjacent classes

• boundaries_q75: Estimates nutrient boundaries as the upper quartile of the relevant status class

andrewdolman/ecostattoolkit documentation built on May 10, 2019, 10:30 a.m.