marrayFit-class {stepNorm} | R Documentation |
A simple list-based class for the storage of parameters and results of normalization of cDNA microarray data.
Objects can be created by calls of the form new('marrayFit', fit)
where
fit
is a list. Objects of marrayFit
in the StepNorm
package are typically created by functions fitWithin
and
fit2DWithin
.
This class contains no slots, but objects should contain the following list components:
: A character vector of names of predictor variables.
: A numeric matrix of predictor variables.
: A numeric matrix of responses.
: A numeric matrix of normalized values (typically log ratios (M))
.
: A numeric matrix of the fitted values.
: The equivalent number of parameters; see loess
.
: The residual degrees of freedom.
: A character string indicating the name of the function used for normalization.
This class inherits directly from class list
so any operation
appropriate for lists will work on objects of this class.
Yuanyuan Xiao, yxiao@itsa.ucsf.edu,
Jean Yee Hwa Yang, jean@biostat.ucsf.edu
## load in swirl data data(swirl) ## median normalization for the first slide of the swirl data medWithin <- fitWithin(fun="medfit") ## medFit is an object of class marrayFit medFit <- medWithin(swirl[,1]) ## normalized ratios is stored in: norm.M <- medFit$residuals