This function calculates the relative clonal space occupied by the
clones. The grouping of these clones is based on the parameter
clonalSplit, at default, clonalSplit will group the clones
into bins of 1:10, 11:100, 101:1001, etc. To adjust the clones
selected, change the numbers in the variable split. If a matrix output
for the data is preferred, set exportTable = TRUE.
clonalProportion(
input.data,
clonalSplit = c(10, 100, 1000, 10000, 30000, 1e+05),
cloneCall = "strict",
chain = "both",
group.by = NULL,
order.by = NULL,
exportTable = FALSE,
palette = "inferno",
...
)The product of combineTCR(),
combineBCR(), or combineExpression().
The cut points for the specific clones, default = c(10, 100, 1000, 10000, 30000, 1e+05)
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 dividing space occupied by ranks of clones 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"))
# Using clonalProportion()
clonalProportion(combined, cloneCall = "gene")