[R] how do I plot a regression curve with the data?

[Peter Ehlers]

Ken Ervin wrote:
> I have a data set of 6 or so ordered pairs, and I've been able to graph 
> them and have decided to use a high-order polynomial regression.  I've 
> used the following piece of code:
> 
> regression <- function(x,y) {
>    x <- c(insert_numbers_here)
>    y <- c(insert_other_numbers_here)
>    fit <- lm(y ~ x + I(x^2) + I(x^3) + I(x^4) + I(x^5) + I(x^6) + I(x^7) 
> + I(x^8) + I(x^9))
>    summary(fit)
> 
> This gives me the coefficients for the regression very nicely, but I 
> would like to plot both the data and the regression curve together.  How 
> do I plot that regression curve as a function, and can I put it on the 
> same set of axes as my data scatter plot?
> 
Are you sure that fitting such a high-degree polynomial makes
sense? Is there any theory to support the model? If you really
want to do this, then use predict.lm():

## with xmin, xmax as the limits of your scatterplot
  xx <- seq(xmin, xmax, length=51)
  yy <- predict(fit, newdata=list(x=xx))
  lines(xx, yy)  ## add to scatterplot

  -Peter Ehlers


> Thanks in advance for your help!
> 
> -KE
> 
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