What R commands were used to produce this estimate of the required
transformation? Did the command used produce a confidence interval for
the power transformation, as, e.g., "boxcox" in library(MASS) described
by Venables and Ripley (2002) Modern Applied Statistics with S, 4th ed.
(Spring
On Sun, 30 Jan 2005 17:47:31 -0500, you wrote:
<-SNIP
|=[:o) >
|=[:o) >
|=[:o) >
|=[:o) Why are you using a double square root transformation? Is the
|=[:o) transformation for the response variable? Transfromation is one way to
|=[:o) help insure that the error distri
Landini Massimiliano wrote:
On Tue, 25 Jan 2005 15:42:45 +0100, you wrote:
|=[:o) Dear R users,
|=[:o)
|=[:o) Is it reasonable to transform data (measurements of plant height) to the
|=[:o) power of 1/4? I´ve used boxcox(response~A*B) and lambda was close to 0.25.
|=[:o)
IMHO (I'm far to b
On Tue, 25 Jan 2005 15:42:45 +0100, you wrote:
|=[:o) Dear R users,
|=[:o)
|=[:o) Is it reasonable to transform data (measurements of plant height) to
the
|=[:o) power of 1/4? I´ve used boxcox(response~A*B) and lambda was close to
0.25.
|=[:o)
IMHO (I'm far to be a statistician) no. I t
Dear R users,
Is it reasonable to transform data (measurements of plant height) to the
power of 1/4? I´ve used boxcox(response~A*B) and lambda was close to 0.25.
Regards,
Christoph
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