plotBarcodeBubble

Generate proportional bubbleplots from raw count object with barcodes labelled above a specified threshold

Usage

plotBarcodeBubble(
  dgeObject,
  title = "Proportional Bubble Plot",
  group = NULL,
  displaySamples = NULL,
  displayBarcodes = NULL,
  proportionCutoff = 10,
  colorDominant = FALSE,
  labelBarcodes = TRUE,
  orderBarcodes = TRUE,
  legend = TRUE
)

Arguments

dgeObject

DGEList object with barcode counts.

title

Plot title (string). Default = `Proportional Bubble Plot`.

group

Optional, column name in sample metadata to group samples by (string).

displaySamples

Optional, vector of sample names to display, preserves the order of vector (vector of strings).

displayBarcodes

Optional, vector of barcodes to display (vector of strings).

proportionCutoff

Barcodes represented at a percentage within any sample above this threshold will be labelled (decimal). Default = `10`.

colorDominant

Only color clones with frequency above `proportionCutoff` and others colored grey (boolean). Default = `FALSE`.

labelBarcodes

Label barcodes with a proportion larger than `proportionCutoff` in any sample (boolean). Default = `TRUE`.

orderBarcodes

Order barcodes alphanumerical (boolean). For SPLINTR that represents abundance in original barcode library. Default `TRUE`.

legend

Show a legend of bubble sizes (boolean). Default = `TRUE`.

Value

Returns a bubbleplot of barcodes represented by proportion of total pool

Examples

data(test.dge)
plotBarcodeBubble(test.dge, proportionCutoff = 10)
#> Warning: Vectorized input to `element_text()` is not officially supported.
#> ℹ Results may be unexpected or may change in future versions of ggplot2.