vis.rarefaction: Rarefaction statistics visualisation.
In tcR: Advanced Data Analysis of Immune Receptor Repertoires

Description Usage Arguments See Also Examples

Plot a line with mean unique clones.

1	vis.rarefaction(.muc.res, .groups = NULL, .log = F, .names = T)

`.muc.res`	Output from the `muc` function.
`.groups`	List with names for groups and names of the group members. If NULL than each member is in the individual group.
`.log`	if T then log-scale the y axis.
`.names`	If T then print number of samples.

rarefaction

## Not run: 
data(twb)
names(twb)  # "Subj.A" "Subj.B" "Subj.C" "Subj.D"
twb.rar <- rarefaction(twb, .col = "Read.count")
vis.rarefaction(twb.rar, list(A = c("Subj.A", "Subj.B"), B = c("Subj.C", "Subj.D")))

## End(Not run)