View source: R/utils-characterize.r
| TrackCluster | R Documentation |
TrackCluster follows a selection of objects or a specific cluster
across a sequence of clustering results, recording how the objects are
distributed over the clusters of each method and optionally producing
tracking plots.
TrackCluster(
List,
Selection,
nrclusters = NULL,
followMaxComps = FALSE,
followClust = TRUE,
fusionsLog = TRUE,
weightclust = TRUE,
names = NULL,
selectionPlot = FALSE,
table = FALSE,
completeSelectionPlot = FALSE,
ClusterPlot = FALSE,
cols = NULL,
legendposx = 0.5,
legendposy = 2.4,
plottype = "sweave",
location = NULL
)
List |
A list of clustering outputs to be compared. The first element of
the list is used as the reference in |
Selection |
Either a character vector of objects, or a numeric cluster number. |
nrclusters |
The number of clusters to cut the dendrogram in. Default is NULL. |
followMaxComps |
Logical. Whether to follow the cluster with the maximum number of objects. Default is FALSE. |
followClust |
Logical. Whether to follow the cluster of interest. Default is TRUE. |
fusionsLog |
Logical. Indicator for the fusion of clusters. Default is TRUE. |
weightclust |
Logical. For the outputs of CEC, WeightedClust or WeightedSimClust, if TRUE only the result of the Clust element is considered. Default is TRUE. |
names |
Optional. Names of the methods. Default is NULL. |
selectionPlot |
Logical. Whether to produce the selection plot. Default is FALSE. |
table |
Logical. Whether to produce a table of the tracking. Default is FALSE. |
completeSelectionPlot |
Logical. Whether to produce the complete selection plot. Default is FALSE. |
ClusterPlot |
Logical. Whether to produce the cluster plot. Default is FALSE. |
cols |
The colors to use in the plots. Default is NULL. |
legendposx |
The x-coordinate of the legend. Default is 0.5. |
legendposy |
The y-coordinate of the legend. Default is 2.4. |
plottype |
Should be one of "pdf","new" or "sweave". Default is "sweave". |
location |
If plottype is "pdf", a location should be provided. Default is NULL. |
A list with one element per method describing how the selection is distributed across the clusters, and optionally a tracking table.
## Not run:
data(fingerprintMat)
data(targetMat)
MCF7_F = Cluster(fingerprintMat,type="data",distmeasure="tanimoto",normalize=FALSE,
method=NULL,clust="agnes",linkage="flexible",gap=FALSE,maxK=55,StopRange=FALSE)
MCF7_T = Cluster(targetMat,type="data",distmeasure="tanimoto",normalize=FALSE,
method=NULL,clust="agnes",linkage="flexible",gap=FALSE,maxK=55,StopRange=FALSE)
L=list(MCF7_F,MCF7_T)
MCF7_Track=TrackCluster(List=L,Selection=4,nrclusters=7,followMaxComps=FALSE,
followClust=TRUE,selectionPlot=TRUE,table=TRUE,cols=NULL)
## End(Not run)
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