linear_regression: Compute linear regression coefficients and errors.

In neonSoilFlux: Compute Soil Carbon Fluxes for the National Ecological Observatory Network Sites

Compute linear regression coefficients and errors.

Description

Given x and y data compute simple linear regression slope and intercept, with errors by quadrature.

Usage

linear_regression(x, x_err, y, y_err)

Arguments

x	Required. vector of independent variables.
x_err	Required. vector of independent variable errors.
y	Required. Vector of dependent variables.
y_err	Required. Vector of dependent variable errors.

Value

A data frame of linear regression slope, intercept, and associated errors

Author(s)

John Zobitz [e-mail]

Examples

y<- c(345,432,233)
y_err <- c(1,5,6)
x <- c(0.01,0.04,0.17)
x_err <- c(0.1,.3,.6)
linear_regression(x,x_err,y,y_err)

neonSoilFlux documentation built on Nov. 23, 2025, 1:06 a.m.