[R] Help to get fitted and residual value

[Petr PIKAL]

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.values

myFitVals <- 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. 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
> > 
> > 
> > 
> > --
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> fitted-and-residual-value-tp4167808p4167808.html
> > Sent from the R help mailing list archive at Nabble.com.
> > 
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> ______________________________________________
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> and provide commented, minimal, self-contained, reproducible code.