The CobsFitClass
class represents models that were fit with the
nonparametric model.
# S4 method for CobsFitClass
fitSeries(object,
diln,
intensity,
est.conc,
method="nls",
silent=TRUE,
trace=FALSE,
...)
# S4 method for CobsFitClass
fitSlide(object,
conc,
intensity,
...)
# S4 method for CobsFitClass
fitted(object, conc, ...)
# S4 method for CobsFitClass
trimConc(object,
conc,
intensity,
design,
trimLevel,
...)
The fitted
method returns a numeric vector.
object of class CobsFitClass
numeric vector of dilutions for series to be fit
numeric vector of observed intensities for series to be fit
numeric estimated concentration for EC50 dilution
character string specifying regression method to use to fit the series
logical scalar. If TRUE
, report of error messages will
be suppressed in try(nlsmeth(...))
logical scalar. Used in nls
method.
numeric vector containing estimates of the log concentration for each dilution series
object of class RPPADesignParams
describing options for processing
the array
numeric scalar multiplied to Median Absolute Deviation MAD
extra arguments for generic routines
Objects are created internally by calls to the methods
fitSlide
or RPPAFit
.
model
:object of class cobs
summarizing nonparametric
fit
lambda
:numeric
Class FitClass
, directly.
signature(object = "CobsFitClass")
:
Finds the concentration for an individual dilution series given the
curve fit for the slide.
signature(object = "CobsFitClass")
:
Uses the concentration and intensity series for an entire slide to
fit a curve for the slide of intensity = f(conc).
signature(object = "CobsFitClass")
:
Extracts fitted values of the model.
signature(object = "CobsFitClass")
:
Returns concentration and intensity cutoffs for the model.
P. Roebuck paul_roebuck@comcast.net, James M. Melott jmmelott@mdanderson.org
FitClass