https://github.com/cran/BayesDA
Tip revision: 25406ad15887658bbf52f4fd80a37b801657ca83 authored by Kjetil Halvorsen on 05 April 2012, 00:00:00 UTC
version 2012.04-1
version 2012.04-1
Tip revision: 25406ad
factorial.Rd
\name{factorial}
\alias{factorial}
\docType{data}
\title{ Data From a Chemical Experiment }
\description{
A factorial designed experiment from chemistry. Three experimental variables representing
reactor conditions, and the response, conversion (\%) from n-Heptane to
acetylene.
}
\usage{data(factorial)}
\format{
A data frame with 16 observations on the following 4 variables.
\describe{
\item{\code{temperature}}{reactor temperature}
\item{\code{ratio}}{ratio of H2 to n-heptane (mole ratio)}
\item{\code{contact}}{Contact time (sec)}
\item{\code{conversion}}{the response, conversion from n-heptane to acetylene}
}
}
\details{
This data is used in an exercise on regression with many explanatory
variables, page 413 of second edition. Original authors assume a quadratic
functional form.
}
\examples{
data(factorial)
summary(factorial)
# non-Bayesian analysis:
fac.mod1 <- lm(conversion ~ temperature+ratio+contact+
I(temperature*ratio)+I(temperature*contact)+
I(ratio*contact)+I(temperature^2)+I(ratio^2)+I(contact^2),
data=factorial)
summary(fac.mod1)
}
\keyword{datasets}
\concept{ridge regression}