Objects can be created by calls of the form new("WfmFit", betaWav, varbetaWav, smoothPar, varEps, dataOrigSpace, dataWaveletSpace, design.matrix, phenoData, genome.info, n.levels, probePosition, wave.filt, Kj, prior, F, varF, P, Z, noGroups, replics).
Slots
betaWav:
Object of class "matrix" ~~
varbetaWav:
Object of class "matrix" ~~
smoothPar:
Object of class "matrix" ~~
varEps:
Object of class "numeric" ~~
dataOrigSpace:
Object of class "matrix" ~~
dataWaveletSpace:
Object of class "matrix" ~~
design.matrix:
Object of class "matrix" ~~
phenoData:
Object of class "data.frame" ~~
genome.info:
Object of class "genomeInfo" ~~
n.levels:
Object of class "numeric" ~~
probePosition:
Object of class "numeric" ~~
wave.filt:
Object of class "character" ~~
Kj:
Object of class "numeric" ~~
prior:
Object of class "character" ~~
F:
Object of class "matrix" ~~
varF:
Object of class "matrix" ~~
P:
Object of class "numeric" ~~
Z:
Object of class "matrix" ~~
noGroups:
Object of class "numeric" ~~
replics:
Object of class "numeric" ~~
Methods
getBetaWav
signature(object = "WfmFit"): ...
getChromosome
signature(object = "WfmFit"): ...
getDataOrigSpace
signature(object = "WfmFit"): ...
getDataWaveletSpace
signature(object = "WfmFit"): ...
getDesignMatrix
signature(object = "WfmFit"): ...
getF
signature(object = "WfmFit"): ...
getGenomeInfo
signature(object = "WfmFit"): ...
getKj
signature(object = "WfmFit"): ...
getMaxPos
signature(object = "WfmFit"): ...
getMinPos
signature(object = "WfmFit"): ...
getNoLevels
signature(object = "WfmFit"): ...
getNoProbes
signature(object = "WfmFit"): ...
getPhenoInfo
signature(object = "WfmFit"): ...
getPrior
signature(object = "WfmFit"): ...
getProbePosition
signature(object = "WfmFit"): ...
getSmoothPar
signature(object = "WfmFit"): ...
getStrand
signature(object = "WfmFit"): ...
getVarBetaWav
signature(object = "WfmFit"): ...
getVarEps
signature(object = "WfmFit"): ...
getVarF
signature(object = "WfmFit"): ...
getWaveletFilter
signature(object = "WfmFit"): ...
initialize
signature(.Object = "WfmFit"): ...
show
signature(object = "WfmFit"): ...
wfm.inference
signature(object = "WfmFit"): ...
Accessors
In the following code snippets, x is a WfmFit object.
getBetaWav(x): Extract the fitted effect functions in the wavelet space.
getChromsome(x): Extract the chromosome identifiers.
getDataOrigSpace(x): Extract the raw expression data in the original data space.
getDataWaveletSpace(x): Extract the raw data in the wavelet space, i.e. the wavelet coefficients.
getDesignMatrix(x): Extract the design matrix used in the wavelet-based analysis.
getF(x): Extract the fitted functional effects in the original data space.
getGenomeInfo(x): Extract the genomic information.
getKj(x): Extract the number of wavelet coefficients estimated per wavelet level.
getMaxPos(x): Extract the maximum genomic probe position.
getMinPos(x): Extract the minimum genomic probe position.
getNoLevels(x): Extract the number of levels in in the wavelet decomposition when fitting the wavelet-based functional model.
getNoProbes(x): Extract the number of probes.
getPhenoInfo(x): Extract the phenotypic information for the tiling array experiment.
getPrior(x): Extract the the type or distribution of the prior imposed on the functional effects in the wavelet space.
getProbePosition(x): Extract probe position.
getSmoothPar(x): Extract the estimated smoothing parameters that control the regularization of the effect functions in the wavelet space.
getStrand(x): Extract the strand orientation info.
getVarBetaWav(x): Extract the variance of the fitted effect functions in the wavelet space.
getVarEps(x): Extract the estimated residual variance in the wavelet space. One variance parameter is estimated per wavelet level.
getVarF(x): Extract the variance of the fitted functional effects in the original data space.
getWaveletFilter(x): Extract the wavelet filter used to transform the data from the original space to the wavelet space.