error_propagation: Error Propagation

In ryankinzer/cuyem: Snake River Basin Anadromous Fish Summaries and Metric Estimation

Error Propagation

Description

Propagate uncertainty using variance properties for addition, subtraction, and multiplication and the first order Taylor expansion (i.e., delta method) for the division of two random variables.

Usage

error_propagation(
  fx = c("addition", "subtraction", "product", "division"),
  type = c("both_random", "y_constant"),
  x,
  se.x,
  y,
  se.y = NULL,
  alpha = 0.05
)

Arguments

fx	the function being applied; c("addition", "subtraction", "product","division").
type	set both x and y as random variables (type = "both_random") or define y as a constant (type = "y_constant").
x	vector of random variables
se.x	standard error of x
y	vector of random variables
se.y	standard error of y
alpha	type I error rate. Default is set at 0.05 to produce 95% confidence intervals.

Author(s)

Ryan N. Kinzer

Examples

x <- rnorm(10, 0, 1)
y <- rnorm(10, 5, 10)
se.x <- rep(2,10)
se.y <- rep(10,10)
error_propagation("division", "both_random", x, se.x, y, se.y)

ryankinzer/cuyem documentation built on April 20, 2024, 2:10 p.m.