R: Calculate simultaneous confidence limits by Scheffe's method

scheffe {lava} | R Documentation

## Calculate simultaneous confidence limits by Scheffe's method

### Description

Function to compute the Scheffe corrected confidence interval for the regression line

### Usage

    scheffe(model, newdata = model.frame(model), conf.level = 0.95)

### Arguments

`model` | Linear model
`newdata` | new data frame
`conf.level` | confidence level (0.95)

### Examples

    x <- rnorm(100)
    d <- data.frame(y=rnorm(length(x),x),x=x)
    l <- lm(y~x,d)
    plot(y~x,d)
    abline(l)
    d0 <- data.frame(x=seq(-5,5,length.out=100))
    d1 <- cbind(d0,predict(l,newdata=d0,interval="confidence"))
    d2 <- cbind(d0,scheffe(l,d0))
    lines(lwr~x,d1,lty=2,col="red")
    lines(upr~x,d1,lty=2,col="red")
    lines(lwr~x,d2,lty=2,col="blue")
    lines(upr~x,d2,lty=2,col="blue")

[Package lava version 1.5.1 Index]