plotCI.reg: Plots a simple linear regression along with confidence and prediction intervals.

Description

Plots the fitted line from a simple linear regression (y ~ x) and (if requested) confidence and prediction intervals.

Usage

plotCI.reg(x, y, conf = 0.95, CI = TRUE, PI = TRUE, resid = FALSE, reg.col = 1, 
CI.col = 2, PI.col = 4, reg.lty = 1, CI.lty = 2, PI.lty = 3, reg.lwd = 1, 
CI.lwd = 1, resid.lty = 3, resid.col = 4,...)

Value

Returns a plot with a regression line and (if requested) confidence and prediction intervals

Arguments

x: The explanatory variable, a numeric vector.
y: The response variable, a numeric vector
conf: The level of confidence; 1 - P(type I error)
CI: Logical; should the confidence interval be plotted?
PI: Logical; should the prediction interval be plotted?
resid: Logical; should residuals be plotted?
reg.col: Color of the fitted regression line.
CI.col: Color of the confidence interval lines.
PI.col: Color of the prediction interval lines.
reg.lty: Line type for the fitted regression line.
CI.lty: Line type for the confidence interval.
PI.lty: Line type for the confidence interval.
reg.lwd: Line width for the regression line.
CI.lwd: Line widths for the confidence and prediction intervals.
resid.lty: Line width for the regression line.
resid.col: Line color for residual lines.
...: Additional arguments from plot

Author

Ken Aho

Examples

Run this code

y<-c(1,2,1,3,4,2,3,4,3,5,6)
x<-c(2,3,1,4,5,4,5,6,7,6,8)
plotCI.reg(x,y)