linearFit: Linear regression.

In tunelipt/wutils: Useful functions for data processing in a wind tunnel

Description

Calculates the linear fit of a set of points using lm. This function returns the coefficients that best approximate the set of points according to the equation

y = a1 + a2*x

The function returns the vector c(a1, a2).

Usage

linearFit(x, y)

Arguments

x	Vector containing x coordinates of the points.
y	Vector containing y coordinates of the points.

Value

Vector with fit coefficients.

Author(s)

Paulo José Saiz Jabardo

See Also

lm predict.lm

Examples

x <- 1:10
y <- 2*x + rnorm(10, sd=0.4)
fit <- linearFit(x, y)
plot(x, y, xlab='x', ylab='y')
lines(x, fit[1] + fit[2]*x)
print(fit)

tunelipt/wutils documentation built on Nov. 5, 2019, 11:01 a.m.