Package index • doppelgangR

All functions

summary(<DoppelGang>) show(<DoppelGang>) print(<DoppelGang>): DoppelGang S4 class

colFinder(): Calculate pairwise similarities of colData between samples for a list containing two DataFrame

corFinder(): Calculate pair-wise correlations between samples using the expr() slots of a list of two ExpressionSets.

doppelgangR-package: Identify likely duplicate samples from genomic or meta-data

doppelgangR(): doppelgangR

dst() rst() pst() qst(): Skew-t Distribution

mst.mle() st.mle(): Maximum likelihood estimation for a (multivariate) skew-t distribution

outlierFinder(): Identifies outliers in a similarity matrix.

phenoDist(): Calculate distance between two vectors, rows of one matrix/dataframe, or rows of two matrices/dataframes.

phenoFinder(): Calculate pairwise similarities of phenoData between samples for a list containing two ExpressionSets

plot(<DoppelGang>,<ANY>): Histograms of all pairwise sample correlations, showing identified doppelgangers.

smokingGunFinder(): Find doppelgangers based on "smoking gun" phenotypes - those that should be unique to each patient.

vectorHammingDist(): Calculate Hamming Distance between two vectors, using pairwise complete observations.

vectorWeightedDist(): Calculate a weighted distance between two vectors, using pairwise complete observations.