R help - Apr 2008 - R question about prediction from a fitted model

Hi, I have a question about predicting new values from a fitted model in R.

 For example, if i fit a linear model

fit<-lm(y~x)

predict(fit) will give the fitted values for each x.

I am wondering if there is a way to do some prediction of the fitted for
some new values of x that are not in the data points?

for example, x=0.5 is not in the original data (not a datapoint), is there a
way to predict the fitted value corresponding to x=0.5 easily?

Thank you!

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Hi Lisa,

See examples in ?predict.lm

HTH,

Jorge


On Fri, Apr 25, 2008 at 7:47 PM, Lisa <sangwl@gmail.com> wrote:
> Hi, I have a question about predicting new values from a fitted model in R.
>
>  For example, if i fit a linear model
>
> fit<-lm(y~x)
>
> predict(fit) will give the fitted values for each x.
>
> I am wondering if there is a way to do some prediction of the fitted for
> some new values of x that are not in the data points?
>
> for example, x=0.5 is not in the original data (not a datapoint), is there
> a
> way to predict the fitted value corresponding to x=0.5 easily?
>
> Thank you!
>
>        [[alternative HTML version deleted]]
>
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> http://www.R-project.org/posting-guide.html
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>
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