Error in plot.clonal.models

[fjgassner]

I get the following output when running the plot.clonal.models pipeline:

Sample 1: Xvaf <-- Xvaf
Sample 2: dup <-- dup
Using monoclonal model
Note: all VAFs were divided by 100 to convert from percentage to proportion.
Generating non-parametric boostrap samples...
Xvaf : Enumerating clonal architectures...
Determining if cluster VAF is significantly positive...
Exluding clusters whose VAF < min.cluster.vaf=0.01
Non-positive VAF clusters:
Xvaf : 1 clonal architecture model(s) found

dup : Enumerating clonal architectures...
Determining if cluster VAF is significantly positive...
Exluding clusters whose VAF < min.cluster.vaf=0.01
Non-positive VAF clusters:
dup : 1 clonal architecture model(s) found

Finding consensus models across samples...
Found 1 consensus model(s)
Generating consensus clonal evolution trees across samples...
Found 1 consensus model(s)
Scoring models...
Pruning consensus clonal evolution trees....
Seeding aware pruning is: off
Number of unique pruned consensus trees: 1
Error in polygon(xx, yy, col = fill.color[i], border = border.color[i], :
invalid line type: must be length 2, 4, 6 or 8
In addition: Warning messages:
1: Removed 1 rows containing non-finite values (stat_summary).
2: Removed 1 rows containing missing values (geom_point).
3: Removed 1 rows containing non-finite values (stat_summary).
4: Removed 1 rows containing missing values (geom_point).

I use the following command:

plot.clonal.models(y,
box.plot = TRUE,
fancy.boxplot = TRUE,
fancy.variant.boxplot.jitter.alpha = 1,
fancy.variant.boxplot.jitter.center.color = "grey50",
fancy.variant.boxplot.base_size = 12,
fancy.variant.boxplot.plot.margin = 1,
fancy.variant.boxplot.vaf.suffix = ".VAF",
clone.shape = "bell",
bell.event = FALSE,
clone.time.step.scale = 1,
bell.curve.step = 2,
merged.tree.plot = TRUE,
tree.node.label.split.character = NULL,
tree.node.shape = "circle",
tree.node.size = 30,
tree.node.text.size = 0.5,
merged.tree.node.size.scale = 1.25,
merged.tree.node.text.size.scale = 2.5,
merged.tree.cell.frac.ci = FALSE,
merged.tree.clone.as.branch = TRUE,
mtcab.branch.text.size = 2,
mtcab.branch.width = 0.75,
mtcab.node.size = 3,
mtcab.node.label.size = 1,
mtcab.node.text.size = 1.5,
cell.plot = TRUE,
num.cells = 100,
cell.border.size = 0.25,
cell.border.color = "black",
clone.grouping = "horizontal",
scale.monoclonal.cell.frac = TRUE,
show.score = FALSE,
cell.frac.ci = TRUE,
disable.cell.frac = FALSE,
out.dir = paste0("~/Documents/2019_09_06_Daniel/", filenames[i]),
out.format = "pdf",
overwrite.output = TRUE,
width = 8,
height = 4,
panel.widths = c(3, 4, 2, 4, 2))
dev.off()

versions:
clonEvol v0.99.11
R v. 3.6.1

[fjgassner]

For some reason, this error only occurs for samples with only one cluster.