adjust.linearmodel      Batch adjustment using a linear model
combat                  ComBat algorithm to combine batches.
confounding             Heatmap of interrelation of sample annotations
corrected.p             Correction of p-values for associations between
                        features and sample annotation
dense.plot              Density plots of feature associations in
                        observed and permuted data
feature.assoc           Associations of the features to a sample
                        annotation in observed and reshuffled data.
hca.plot                Dendrogram with according sample annotations
hca.test                Tests for annotation differences among sample
                        clusters
kill.pc                 Removes principal components from a data matrix
prince                  Linear models of prinicipal conponents
                        dependent on sample annotations
prince.plot             Heatmap of the associations between principal
                        components and sample annotations
prince.var.plot         ScreePlot of the data variation covered by the
                        principal components
quickadjust.ref         Batch adjustment by median-scaling to a
                        reference batch
quickadjust.zero        Batch adjustment by median-centering
swamp-package           Visualization, Analysis and Adjustment of
                        High-Dimensional Data in Respect to Sample
                        Annotations
