Description Usage Arguments Details Value Note Author(s) References Examples
Fits a one-factor model based on the cgOneFactorData
object. The
created object is designed for one-factor / one-way / unpaired samples
collected data, and is of class cgOneFactorFit
.
1 2 |
data |
A data object of class |
type |
Type of model to fit, represented by a character
value. The default value is
|
... |
Additional arguments, both optional, that are allowed to be specified dependent on
the choice of the
|
In the current version of the cg package, most default settings
for rlm
are kept for the
fit.cgOneFactorData
method wrapper call when
type="rr"
, with no capability to choose
another value for an arguments such as psi
, scale.est
,
and k2
. The method
argument is set to "MM"
.
Analogously most survreg
default settings are kept for the
fit.cgOneFactorData
method wrapper call when
type="aft"
, with no capability to modify the
arguments. Most notably the dist
argument is set to
"lognormal"
or "gaussian"
, depending on
whether a log scale analysis request is evident in the
cgOneFactorData
object or not, respectively.
Creates an object of class cgOneFactorFit
, with the
following slots:
olsfit
The contents of a lm
fit to the
data. This is always populated with an lm
object
no matter the choice of the
type
argument, even though it is certainly inappropriate in
the type="aft"
case.
rrfit
The contents of a rlm
fit to the
data, housed as a rrfit
class object.
If type="rr"
is not selected, then this is set
to a simple character value of "No fit was selected."
.
aftfit
The contents of a survreg
fit to the
data, with some annotations, to be a aftfit
class object.
If type="aft"
is not selected, then this is set
to a simple character value of "No fit was selected."
.
uvfit
The contents of a gls
fit to the
data, housed as a uvfit
class object.
If type="uv"
is not selected, then this is set
to a simple character value of "No fit was selected."
.
settings
A list of properties carried as-is from the
data
argument object of class
cgOneFactorData
.
In particular,
if zeroscore
is specified as a non-NULL
number in
the cgOneFactorData
object in the data
argument, then a score value near zero was derived to replace all zeroes for subsequent
log-scale analyses. Alternatively, if addconstant
is specified
as a non-NULL
number in the
cgOneFactorData
object in the data
argument, then a value was added to shift up all observations for subsequent
log-scale analyses.
Contact cg@billpikounis.net for bug reports, questions, concerns, and comments.
Bill Pikounis [aut, cre, cph], John Oleynick [aut], Eva Ye [ctb]
Huber, P. J. (1967), "The Behavior of Maximum Likelihood Estimates Under Nonstandard Conditions", Proceedings of the Fifth Berkeley Symposium on Mathematical Statistics and Probability, Volume 1, 221-233.
Venables, W. N. and Ripley, B. D. (2002), Modern Applied Statistics with S. Fourth edition. Springer.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 | data(canine)
canine.data <- prepareCGOneFactorData(canine, format="groupcolumns",
analysisname="Canine",
endptname="Prostate Volume",
endptunits=expression(plain(cm)^3),
digits=1, logscale=TRUE, refgrp="CC")
canine.fit <- fit(data=canine.data, type="rr")
data(gmcsfcens)
gmcsfcens.data <- prepareCGOneFactorData(gmcsfcens, format="groupcolumns",
analysisname="cytokine",
endptname="GM-CSF (pg/ml)",
logscale=TRUE)
gmcsfcens.fit <- fit(gmcsfcens.data, type="aft")
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