UsingR: simple.lm – R documentation

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simple.lm

Simplify usage of lm

Simplify usage of lm by avoiding model notation, drawing plot, drawing regression line, drawing confidence intervals.

simple.lm(x, y, show.residuals=FALSE, show.ci=FALSE, conf.level=0.95,pred=)

`x`	The predictor variable
`y`	The response variable
`show.residuals`	set to TRUE to plot residuals
`show.ci`	set to TRUE to plot confidence intervals
`conf.level`	if show.ci=TRUE will plot these CI's at this level
`pred`	values of the x-variable for prediction

returns plots and an instance of lm, as though it were called lm(y ~ x)

John Verzani

## on simulated data
x<-1:10
y<-5*x + rnorm(10,0,1)
tmp<-simple.lm(x,y)
summary(tmp)

## predict values
simple.lm(x,y,pred=c(5,6,7))

Data Sets, Etc. for the Text "Using R for Introductory Statistics", Second Edition

v2.0-6

GPL (>= 2)

Authors

John Verzani <verzani@math.csi.cuny.edu>

Initial release