canine.listfmt {cg} | R Documentation |
Canine Data Set in the cg package
Description
A data frame used to illustrate the cg package. It has a One Factor / One-Way / Unpaired Samples layout.
Usage
data(canine.listfmt)
Format
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.
Details
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 prepare
d 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.
Note
Contact cg@billpikounis.net for bug reports, questions, concerns, and comments.
References
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.
See Also
canine
, prepareCGOneFactorData
Examples
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")