A data frame used to illustrate the cg package. It has a One Factor / One-Way / Unpaired Samples layout.
A 25-by-2 data frame with 5 numeric observations from an experiment on each of the following 5 groups of beagle dogs.
castration plus estradiol and androstanediol
castration plus low dose estradiol
castration plus high dose estradiol
no castration (normal controls)
The above 5 items are the levels of the first column's factor, named
grp. The second column
size contains the numeric observations.
canine.listfmt data set that comes with the cg package
listed format for the
The 5 groups are regarded as levels of one factor in the
fit, and other methods in
the cg package.
canine.listfmt is an alternative format of the
canine data set. See that help file for details. Once
the data set is
prepared into a
cgOneFactorData object, all the subsequent methods work
on the object in the same way.
The purpose of this experiment was to evaluate the effect of a physiological dose of estradiol on prostate growth in dogs using ultrasound. See the reference below for details. Comparisons amongst all five groups are of interest.
Contact firstname.lastname@example.org for bug reports, questions, concerns, and comments.
Rhodes, L., Ding, V.D.H., Kemp, R.K., Khan, M.S., Nakhla, A.M., Pikounis, B., Rosner, W., Saunders, H.M. and Feeney, W.P. (2000). "Estradiol causes a dose dependent stimulation of prostate growth in castrate beagle dogs." The Prostate, Volume 44, 8-18.
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data(canine.listfmt) str(canine.listfmt) ## Analogous to prepareCGOneFactorData call on canine data frame format, ## subsequent methods will work for canine.listfmt.data: canine.listfmt.data <- prepareCGOneFactorData(canine.listfmt, format="listed", analysisname="Canine", endptname="Prostate Volume", endptunits=expression(plain(cm)^3), digits=1, logscale=TRUE, refgrp="CC") ## as they do on canine.data: canine.data <- prepareCGOneFactorData(canine, format="groupcolumns", analysisname="Canine", endptname="Prostate Volume", endptunits=expression(plain(cm)^3), digits=1, logscale=TRUE, refgrp="CC")
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