Description Usage Arguments Value Objects from the Class Slots Extends Methods Author(s) See Also
The LoessFitClass class represents models that were fit with the
nonparametric 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 | ## S4 method for signature 'LoessFitClass'
fitSeries(object,
          diln,
          intensity,
          est.conc,
          method="nls",
          silent=TRUE,
          trace=FALSE,
          ...)
## S4 method for signature 'LoessFitClass'
fitSlide(object,
         conc,
         intensity,
         ...)
## S4 method for signature 'LoessFitClass'
fitted(object,
       conc,
       ...)
## S4 method for signature 'LoessFitClass'
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 fitted method returns a numeric vector.
Objects are created internally by calls to the methods
fitSlide or RPPAFit.
model:object of class loess summarizing loess fit
Class FitClass, directly.
signature(object = "LoessFitClass"):
Finds the concentration for an individual dilution series given the
curve fit for the slide.
signature(object = "LoessFitClass"):
Uses the concentration and intensity series for an entire slide to
fit a curve for the slide of intensity = f(conc).
signature(object = "LoessFitClass"):
Extracts fitted values of the model.
signature(object = "LoessFitClass"):
Returns concentration and intensity cutoffs for the model.
P. Roebuck proebuck@mdanderson.org
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