Data<- read.csv("C:/FE and RE.csv")
Formula="Y~X2+X3+X4 + X5+X6
fit=lm(formula=Formula,data=Data)
My sample Data
State Year Y X2 X3 X4 X5 X6
S2 1960 27.8 397.5 42.2 50.7 78.3 65.8
S1 1960 29.9 413.3 38.1 52 79.2 66.9
S2 1961 29.8 439.2 40.3 54 79.2 67.8
S1 1961 30.8 459.7 39.5 55.3 79.2 69.6
Is there any way to fitted and residual for the new set of data. or should i
create formula manually and pass the values individually
S2 1962 31.2 492.9 37.3 54.7 77.4 68.7
S1 1962 33.3 528.6 38.1 63.7 80.2 73.6
S2 1963 35.6 560.3 39.3 69.8 80.4 76.3
--
View this message in context:
http://r.789695.n4.nabble.com/Help-to-get-fitted-and-residual-value-tp4167808p4167808.html
Sent from the R help mailing list archive at Nabble.com.
Un texte encapsul? et encod? dans un jeu de caract?res inconnu a ?t? nettoy?... Nom : non disponible URL : <https://stat.ethz.ch/pipermail/r-help/attachments/20111207/8b79a4b5/attachment.pl>
Hei,
i) get names of object returned by lm(). in this case fit
names(fit)
output from command : names(fit)
[1] "coefficients" "residuals" "effects"
"rank"
[5] "fitted.values" "assign" "qr"
"df.residual"
[9] "contrasts" "xlevels" "call"
"terms"
ii) To get residuals, enter the command
myFitRes <- fit$residuals;
iii) myFitVals <- fit$fitted.values
I hope will help,
M.O
On ti., 2011-12-06 at 22:20 -0800, arunkumar1111 wrote:> Data<- read.csv("C:/FE and RE.csv")
> Formula="Y~X2+X3+X4 + X5+X6
> fit=lm(formula=Formula,data=Data)
>
> My sample Data
>
> State Year Y X2 X3 X4 X5 X6
> S2 1960 27.8 397.5 42.2 50.7 78.3 65.8
> S1 1960 29.9 413.3 38.1 52 79.2 66.9
> S2 1961 29.8 439.2 40.3 54 79.2 67.8
> S1 1961 30.8 459.7 39.5 55.3 79.2 69.6
>
> Is there any way to fitted and residual for the new set of data. or should
i
> create formula manually and pass the values individually
>
>
> S2 1962 31.2 492.9 37.3 54.7 77.4 68.7
> S1 1962 33.3 528.6 38.1 63.7 80.2 73.6
> S2 1963 35.6 560.3 39.3 69.8 80.4 76.3
>
>
>
> --
> View this message in context:
http://r.789695.n4.nabble.com/Help-to-get-fitted-and-residual-value-tp4167808p4167808.html
> Sent from the R help mailing list archive at Nabble.com.
>
> ______________________________________________
> R-help at r-project.org mailing list
> https://stat.ethz.ch/mailman/listinfo/r-help
> PLEASE do read the posting guide
http://www.R-project.org/posting-guide.html
> and provide commented, minimal, self-contained, reproducible code.
Hi> Hei, > > i) get names of object returned by lm(). in this case fit > names(fit) > > output from command : names(fit) > [1] "coefficients" "residuals" "effects" "rank" > [5] "fitted.values" "assign" "qr" "df.residual" > [9] "contrasts" "xlevels" "call" "terms" > > ii) To get residuals, enter the command > myFitRes <- fit$residuals;myFitRes <- residuals(fit)> > iii) myFitVals <- fit$fitted.valuesmyFitVals <- fitted(fit) shall be prefered. Regards Petr> > > I hope will help, > M.O > > On ti., 2011-12-06 at 22:20 -0800, arunkumar1111 wrote: > > Data<- read.csv("C:/FE and RE.csv") > > Formula="Y~X2+X3+X4 + X5+X6 > > fit=lm(formula=Formula,data=Data) > > > > My sample Data > > > > State Year Y X2 X3 X4 X5 X6 > > S2 1960 27.8 397.5 42.2 50.7 78.3 65.8 > > S1 1960 29.9 413.3 38.1 52 79.2 66.9 > > S2 1961 29.8 439.2 40.3 54 79.2 67.8 > > S1 1961 30.8 459.7 39.5 55.3 79.2 69.6 > > > > Is there any way to fitted and residual for the new set of data. orshould i> > create formula manually and pass the values individually > > > > > > S2 1962 31.2 492.9 37.3 54.7 77.4 68.7 > > S1 1962 33.3 528.6 38.1 63.7 80.2 73.6 > > S2 1963 35.6 560.3 39.3 69.8 80.4 76.3 > > > > > > > > -- > > View this message in context:http://r.789695.n4.nabble.com/Help-to-get-> fitted-and-residual-value-tp4167808p4167808.html > > Sent from the R help mailing list archive at Nabble.com. > > > > ______________________________________________ > > R-help at r-project.org mailing list > > https://stat.ethz.ch/mailman/listinfo/r-help > > PLEASE do read the posting guidehttp://www.R-project.org/posting-guide.html> > and provide commented, minimal, self-contained, reproducible code. > > ______________________________________________ > R-help at r-project.org mailing list > https://stat.ethz.ch/mailman/listinfo/r-help > PLEASE do read the posting guidehttp://www.R-project.org/posting-guide.html> and provide commented, minimal, self-contained, reproducible code.