lambda(x, ...)
x
is an object of class
"boxcox"
, typically the output
from performing a Box-Cox transformation analysis with
boxcox
.
The t-values for all terms in the reduced model associated with a Box-Cox transformation are plotted against lambda values. A two-sided 95% confidence interval for significant effects is shown as well as the choice for the best lambda value.
Box, G.E.P (1988) Signal-to-noise ratios, performance
criteria, and transformations. Technometrics, 30:1-17.
Box, G.E.P. and D.R. Cox (1964) An analysis of
transformations
(with discussion). J. Royal Statist. Soc. Ser. B, 26:211-246
Box, G.E.P. and C.A. Fung (1983) Some considerations
in estimating data transformations. MRC Report #2609,
University of Wisconsin-Madison.
Box, G.E.P. and C.A. Fung (1986) Studies in quality
improvement: Minimizing transmitted variation by
parameter design. Report 8, University of
Wisconsin-Madison, Center for Quality and Productivity
Improvement (submitted to the Journal of Quality Technology).
Box, G. E. P., W. G. Hunter, and J. S. Hunter (1978)
Statistics for Experimenters,
New York: Wiley.
Haaland, P. D. (1989)
Experimental Design in Biotechnology,
New York: Marcel Dekker.
buffer.fac <- fac.aov(buffer.df) buffer.bc <- boxcox(buffer.fac, ~pH*thimer + pH*gent) lambda(bmi.bc)