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List: r-sig-mac
Subject: Re: [R-SIG-Mac] Dependent variable of left and right hand sides
From: Rolf Turner <r.turner () auckland ! ac ! nz>
Date: 2011-05-10 3:59:53
Message-ID: 4DC8B839.7010709 () auckland ! ac ! nz
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(a) What has this question to do with R-SIG-Mac??? It should have
been sent to r-help.
(b) I don't understand what your problem is. Please provide a
a commented, minimal, self-contained, reproducible example.
//
//(c) It's bad policy to use ``df'' as the name of a data frame,
since ``df'' is the name of a built-in object (the F density
function). Why not ``CanNrgData'' or something evocative
like that?
cheers,
Rolf Turner
On 10/05/11 01:56, Thor Jensen wrote:
> Hello all,
>
> An R squared novice with a trouble regression. Some brief background:
> I am looking for a relationship between energy efficiency (based on
> certification level) against various independent variables - including
> heating and cooling days, region (11 Canadian provinces), and soon
> energy prices.
>
> Writing out all the variables into my equation using "monkey$Level" or
> renaming them all using "Level=monkey$Level" seemed too much so I just
> represented the equation side using "lm(monkey$Level~." The trouble
> is my dependent variable is listed among the other independent
> variables on the right hand side. Is this because I am using
> "monkey$level~." instead of renaming the variables via Y=monkey$Level
> and then writing Y~X1..Xn?
>
> > summary(fm<-lm(monkey$Level~., data=df)) # monkey is a csv2 read file, and df \
> > is my data frame with ten dummy variables and two ordinary integer variables
> Call:
> lm(formula = monkey$Level ~ ., data = df)
>
> Residuals:
> Min 1Q Median 3Q Max
> -1.514e-14 -1.048e-15 -1.660e-16 2.960e-16 3.118e-13
>
> Coefficients:
> Estimate Std. Error t value Pr(>|t|)
> (Intercept) 3.040e-14 1.170e-14 2.599e+00 0.00951 **
> monkey.Level 1.000e+00 4.571e-16 2.188e+15< 2e-16 ***
> monkey.AB 3.785e-15 1.876e-15 2.018e+00 0.04394 *
> monkey.BC -2.550e-15 3.669e-15 -6.950e-01 0.48733
> monkey.MB 1.708e-15 2.937e-15 5.820e-01 0.56095
> monkey.NL 1.476e-15 5.022e-15 2.940e-01 0.76887
> monkey.NS 1.214e-16 2.843e-15 4.300e-02 0.96596
> monkey.NT 6.692e-15 1.155e-14 5.790e-01 0.56247
> monkey.ON -9.637e-16 1.160e-15 -8.310e-01 0.40637
> monkey.PE 1.818e-16 6.240e-15 2.900e-02 0.97677
> monkey.SK 2.087e-15 2.539e-15 8.220e-01 0.41130
> monkey.HDD -1.487e-18 1.657e-18 -8.980e-01 0.36958
> monkey.CDD 2.572e-18 4.551e-18 5.650e-01 0.57206
> ---
> Signif. codes: 0 ‘***’ 0.001 ‘**’ 0.01 ‘*’ 0.05 ‘.’ 0.1 ‘ ’ 1
>
> Residual standard error: 1.057e-14 on 882 degrees of freedom
> Multiple R-squared: 1, Adjusted R-squared: 1
> F-statistic: 4.637e+29 on 12 and 882 DF, p-value:< 2.2e-16
>
> I hope this wasn't too much information, thanks for any help or tips
> how to do this more effectively.
>
> Best regards,
>
> Thor Jensen
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