circ.tree | R Documentation |
This function plots a circular dendrogram and a heatmap according a fcs.SCE
. Every leaf has a different colored point size regarding the cell type and the frequency for each cluster.
For additional information go to ggtree
package.
circ.tree(
fcs.SCE,
assay.i = "normalized",
cell.clusters,
dist.method = "euclidean",
hclust.method = "average",
nodes = "display",
open.angle = 100,
scale.size = 10,
colors,
labels = c(T, 0.2)
)
fcs.SCE |
A |
assay.i |
Name of matrix stored in the |
cell.clusters |
Name of column containing clusters identified through |
dist.method |
Distance method measurement to be used. Possible values are "euclidean" (default), "maximum", "manhattan", "canberra", "binary" or "minkowski". |
hclust.method |
Hierarchical clustering method to be used. Possible values are "average" (default), "ward.D", "ward.D2", "single", "complete", "mcquitty", "median" or "centroid". |
nodes |
If |
open.angle |
Angle aperture circular layout. Default = |
scale.size |
Numerical value indicating how much scale points in the dendogram terminal nodes. Default = |
colors |
Vector with colors for plotting. |
labels |
Two values indicating if labels should be displayed (default, |
## Not run:
# step 1: display all node numbers to select how to coloring areas
circ.tree(fcs.SCE = fcsL, cell.clusters = "SOM_L_named", nodes = "display")
# step 2: color areas indicating node numbers
circ.tree(fcs.SCE = fcsL, cell.clusters = "SOM_L_named", nodes = c(17, 25))
## End(Not run)
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