neonSoilFlux (version 3.0.0)

linear_regression: 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)

Value

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

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.

Author

John Zobitz

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)