Description Usage Format Details Note References See Also Examples
A data frame used to illustrate the cg package. It has a One Factor / One-Way / Unpaired Samples layout.
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A 25-by-2 data frame with 5 numeric observations from an experiment on each of the following 5 groups of beagle dogs.
AE castration plus estradiol and androstanediol
E1 castration plus low dose estradiol
E2 castration plus high dose estradiol
CC castration alone
NC 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.
The canine.listfmt data set that comes with the cg package
is in listed format for the
prepareCGOneFactorData call.
The 5 groups are regarded as levels of one factor in the
prepareCGOneFactorData, 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 cg@billpikounis.net 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.
canine, prepareCGOneFactorData
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 | 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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