find_residuals: Find Residuals

In jrpriceUPS/Math160UPS: Suite of Functions for Math 160 Classes at the University of Puget Sound

Find Residuals

Description

This function allows you to find and plot the residuals from a linear fit of two datasets.

Usage

find_residuals()

Examples

> x = c(1,2,3,4,5,6,7)
> y = c(2.5,5.1,6.4,8.4,10.8,13.4,15.3)
> find_residuals()
What is the name of the list with your x variable?
  x
What is the name of the list with your y variable?
  y
The best fit line for these data is:
  y = 2.12142857142857 x (x) + 0.357142857142856


You can find the residuals by saving the model:
  model = lm(y~x)

and then typing:
  resid(model)
1           2           3           4           5           6           7
0.02142857  0.50000000 -0.32142857 -0.44285714 -0.16428571  0.31428571  0.09285714


To plot them, you first need to remove all NAs from x and y
(beyond the scope of this course), then type:
  plot(x,resid(model))

jrpriceUPS/Math160UPS documentation built on April 28, 2024, 12:41 p.m.