This function calculates the space occupied by clone proportions.
The grouping of these clones is based on the parameter cloneSize,
at default, cloneSize will group the clones into bins of Rare = 0
to 0.0001, Small = 0.0001 to 0.001, etc. To adjust the proportions,
change the number or labeling of the cloneSize parameter. If a matrix
output for the data is preferred, set exportTable = TRUE.
clonalHomeostasis(
  input.data,
  cloneSize = c(Rare = 1e-04, Small = 0.001, Medium = 0.01, Large = 0.1, Hyperexpanded =
    1),
  cloneCall = "strict",
  chain = "both",
  group.by = NULL,
  order.by = NULL,
  exportTable = FALSE,
  palette = "inferno",
  ...
)The product of combineTCR(), combineBCR(), or
combineExpression().
The cut points of the proportions.
Defines the clonal sequence grouping. Accepted values
are: gene (VDJC genes), nt (CDR3 nucleotide sequence), aa (CDR3 amino
acid sequence), or strict (VDJC + nt). A custom column header can also be used.
The TCR/BCR chain to use. Use both to include both chains
(e.g., TRA/TRB). Accepted values: TRA, TRB, TRG, TRD, IGH, IGL
(for both light chains), both.
A column header in the metadata or lists to group the analysis
by (e.g., "sample", "treatment"). If NULL, data will be analyzed
by list element or active identity in the case of single-cell objects.
A character vector defining the desired order of elements
of the group.by variable. Alternatively, use alphanumeric to sort groups
automatically.
If TRUE, returns a data frame or matrix of the results
instead of a plot.
Colors to use in visualization - input any hcl.pals.
Additional arguments passed to the ggplot theme
A ggplot object visualizing clonal homeostasis, or a data.frame if
exportTable = TRUE.
# Making combined contig data
combined <- combineTCR(contig_list, 
                        samples = c("P17B", "P17L", "P18B", "P18L", 
                                    "P19B","P19L", "P20B", "P20L"))
clonalHomeostasis(combined, cloneCall = "gene")
