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List:       r-help
Subject:    Re: [R] Predictably puzzled.
From:       David Carlson <dcarlson () tamu ! edu>
Date:       2021-11-20 4:41:37
Message-ID: CAE-dL2r_+rBPVVFnvXt-aA88bXM9wOojtvjOZMO3AvSL178mvg () mail ! gmail ! com
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All you need is predict(fit, data.frame(x)) or if you had started with
a data frame:

xy <- data.frame(x, y)
fit <- lm(y~x, xy)
predict(fit, xy)

David

Professor Emeritus of Anthropology
Texas A&M University
College Station, TX


On Fri, Nov 19, 2021 at 8:45 PM Rolf Turner <r.turner@auckland.ac.nz> wrote:
> 
> On Fri, 19 Nov 2021 18:35:23 -0800 Bert Gunter <bgunter.4567@gmail.com> wrote: > \
> ?predict.lm says: > > "predict.lm produces predicted values, obtained by evaluating \
> the > regression function in the frame newdata (which defaults \
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> On Fri, 19 Nov 2021 18:35:23 -0800
> Bert Gunter <bgunter.4567@gmail.com> wrote:
> 
> > ?predict.lm says:
> > 
> > "predict.lm produces predicted values, obtained by evaluating the
> > regression function in the frame newdata (which defaults to
> > model.frame(object)). "
> > 
> > model.frame(fit) is:
> > 1   1.37095845 -0.30663859
> > 2  -0.56469817 -1.78130843
> > 4   0.63286260  1.21467470
> > 6  -0.10612452 -0.43046913
> > 7   1.51152200 -0.25726938
> > 8  -0.09465904 -1.76316309
> > 9   2.01842371  0.46009735
> > 10 -0.06271410 -0.63999488
> > 11  1.30486965  0.45545012
> > 12  2.28664539  0.70483734
> > 13 -1.38886070  1.03510352
> > 16  0.63595040 -1.71700868
> > 17 -0.28425292 -0.78445901
> > 18 -2.65645542 -0.85090759
> > 19 -2.44046693 -2.41420765
> > 20  1.32011335  0.03612261
> > 
> > i.e. only the rows that are used to fit the model are present.
> 
> Thanks Bert.
> 
> cheers,
> 
> Rolf
> 
> --
> Honorary Research Fellow
> Department of Statistics
> University of Auckland
> Phone: +64-9-373-7599 ext. 88276
> 
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