[R] Test if beta is different from something other than 0
Liaw, Andy
andy_liaw at merck.com
Thu Jan 10 16:10:14 CET 2002
More generally, I believe linear.hypothesis in the package `car' can be
used:
linear.hypothesis(lm(y~x), matrix(c(0,1), 1, 2), 1)
[I hope this is the right way to call linear.hypothesis?]
Andy
> -----Original Message-----
> From: Peter Dalgaard BSA [mailto:p.dalgaard at biostat.ku.dk]
> Sent: Thursday, January 10, 2002 9:20 AM
> To: Moffet, Corey
> Cc: 'r-help at stat.math.ethz.ch'
> Subject: Re: [R] Test if beta is different from something other than 0
>
>
> "Moffet, Corey" <Corey.Moffet at ttu.edu> writes:
>
> > Is there a function/package that will allow you to test the
> hypothesis beta1
> > = x in a
> > simple linear regression, where x is a constant? The AOV
> tests if beta1 in
> > different from
> > 0 but what if I want to know if beta1 one is different from 1?
>
> (Slightly unfortunate choice of variable names there.)
>
> Say that y are responses and x the *predictor*:
>
> > x<-1:10
> > y <- x+rnorm(10)
> > summary(lm(y~x))
>
> Call:
> lm(formula = y ~ x)
>
> Residuals:
> Min 1Q Median 3Q Max
> -2.5600 -0.1918 0.2597 0.4870 1.1106
>
> Coefficients:
> Estimate Std. Error t value Pr(>|t|)
> (Intercept) -0.3347 0.7225 -0.463 0.655
> x 1.0557 0.1164 9.067 1.76e-05 ***
> ---
> Signif. codes: 0 `***' 0.001 `**' 0.01 `*' 0.05 `.' 0.1 ` ' 1
>
> Residual standard error: 1.058 on 8 degrees of freedom
> Multiple R-Squared: 0.9113, Adjusted R-squared: 0.9002
> F-statistic: 82.2 on 1 and 8 DF, p-value: 1.755e-05
>
> > summary(lm(y-x~x))
>
> Call:
> lm(formula = y - x ~ x)
>
> Residuals:
> Min 1Q Median 3Q Max
> -2.5600 -0.1918 0.2597 0.4870 1.1106
>
> Coefficients:
> Estimate Std. Error t value Pr(>|t|)
> (Intercept) -0.33475 0.72250 -0.463 0.655
> x 0.05572 0.11644 0.478 0.645
>
> Residual standard error: 1.058 on 8 degrees of freedom
> Multiple R-Squared: 0.02782, Adjusted R-squared: -0.0937
> F-statistic: 0.229 on 1 and 8 DF, p-value: 0.6451
>
>
> --
> O__ ---- Peter Dalgaard Blegdamsvej 3
> c/ /'_ --- Dept. of Biostatistics 2200 Cph. N
> (*) \(*) -- University of Copenhagen Denmark Ph:
> (+45) 35327918
> ~~~~~~~~~~ - (p.dalgaard at biostat.ku.dk) FAX:
> (+45) 35327907
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