Description Usage Arguments Value Objects from the Class Methods Warning Author(s) Examples
The RPPAPreFitQC class represents the inputs necessary to determine the quality control rating of a reverse-phase protein array slide.
1 2 3 4 5 6 | RPPAPreFitQC(rppa, design, useAdjusted=FALSE)
is.RPPAPreFitQC(x)
## S4 method for signature 'RPPAPreFitQC'
qcprob(object, ...)
## S4 method for signature 'RPPAPreFitQC'
summary(object, ...)
|
rppa |
object of class |
design |
object of class |
useAdjusted |
logical scalar. If |
object |
object of (sub)class |
x |
object of (sub)class |
... |
extra arguments for generic routines |
The RPPAPreFitQC
generator returns an object of subclass of class
RPPAPreFitQC
.
The is.RPPAPreFitQC
method returns TRUE
if its
argument is an object of subclass of class RPPAPreFitQC
.
The summary
method returns a summary of the underlying data frame.
Objects are created by calls to the RPPAPreFitQC
factory method.
signature(object = "RPPAPreFitQC")
:
Placeholder method which must be implemented by subclass.
signature(object = "RPPAPreFitQC")
:
Placeholder method which must be implemented by subclass.
The current implementation only handles designs with 5 dilution
series.
Anything else will fail.
P. Roebuck proebuck@mdanderson.org
1 2 3 4 5 6 7 8 9 10 11 12 | extdata.dir <- system.file("extdata", package="SuperCurveSampleData")
txtdir <- file.path(extdata.dir, "rppaSingleSubgridData")
rppa <- RPPA("Foo.txt",
path=txtdir,
software="microvigene",
alt.layout="superslide")
designfile <- file.path(txtdir, "slidedesign.tsv")
design <- RPPADesign(rppa, designfile=designfile)
fitqc <- RPPAPreFitQC(rppa, design)
summary(fitqc)
qcprob(fitqc)
|
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