Description Usage Arguments Value Objects from the Class Slots Extends Methods Author(s) See Also
The LogisticFitClass
class represents models that were fit with the
logistic model.
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 | ## S4 method for signature 'LogisticFitClass'
coef(object, ...)
## S4 method for signature 'LogisticFitClass'
coefficients(object, ...)
## S4 method for signature 'LogisticFitClass'
fitSeries(object,
diln,
intensity,
est.conc,
method="nls",
silent=TRUE,
trace=FALSE,
...)
## S4 method for signature 'LogisticFitClass'
fitSlide(object,
conc,
intensity,
...)
## S4 method for signature 'LogisticFitClass'
fitted(object,
conc,
...)
## S4 method for signature 'LogisticFitClass'
trimConc(object,
conc,
intensity,
design,
trimLevel,
...)
|
object |
object of class |
diln |
numeric vector of dilutions for series to be fit |
intensity |
numeric vector of observed intensities for series to be fit |
est.conc |
numeric estimated concentration for dilution = 0 |
method |
character string specifying regression method to use to fit the series |
silent |
logical scalar. If |
trace |
logical scalar. Used in |
conc |
numeric vector containing estimates of the log concentration for each dilution series |
design |
object of class |
trimLevel |
numeric scalar multiplied to MAD |
... |
extra arguments for generic routines |
The coef
and coefficients
methods return a named vector
of length three with logistic curve coefficients.
The fitted
method returns a numeric vector.
Objects are created internally by calls to the methods
fitSlide
or RPPAFit
.
coefficients
:numeric vector of length 3, representing alpha, beta, and gamma respectively.
Class FitClass
, directly.
signature(object = "LogisticFitClass")
:
Extracts model coefficients from objects returned by modeling functions.
signature(object = "LogisticFitClass")
:
An alias for coef
signature(object = "LogisticFitClass")
:
Finds the concentration for an individual dilution series given the
curve fit for the slide.
signature(object = "LogisticFitClass")
:
Uses the concentration and intensity series for an entire slide to
fit a curve for the slide of intensity = f(conc).
signature(object = "LogisticFitClass")
:
Extracts fitted values of the model.
signature(object = "LogisticFitClass")
:
Returns concentration and intensity cutoffs for the model.
P. Roebuck proebuck@mdanderson.org
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