Af_cluster_node_features: Function to create a barplot of the cluster composition of...

In AntibodyForests: Delineating Inter- And Intra-Antibody Repertoire Evolution

Function to create a barplot of the cluster composition of selected features from each tree in an AntibodyForests-object

Description

Function to create a barplot of the cluster composition of selected features from each tree in an AntibodyForests-object

Usage

Af_cluster_node_features(
  input,
  features,
  clusters,
  fill,
  colors,
  text.size,
  significance
)

Arguments

input	AntibodyForests-object(s), output from Af_build()
features	Character vector of features to include in the barplot. (these features need to be present in the nodes of the trees)
clusters	Named vector with the cluster assignments of the trees, output from Af_compare_within_repertoires().
fill	identify each unique feature per tree (unique, default), or assign the most observed feature to the tree (max)
colors	Color palette to use for the features.
text.size	Size of the text in the plot. Default is 12.
significance	Logical, whether to add Chi-squared Test p-value to the plot. Default is FALSE.

Value

A list with barplots for each provided feature.

Examples

plot <- Af_cluster_node_features(input = AntibodyForests::small_af,
                                 clusters = AntibodyForests::compare_repertoire[["clustering"]],
                                 features = "isotype",
                                 fill = "max")
plot$isotype

AntibodyForests documentation built on April 4, 2025, 4:45 a.m.