vis.group.boxplot: Boxplot for groups of observations.

In tcR: Advanced Data Analysis of Immune Receptor Repertoires

Description

Plot boxplots for each group.

Usage

vis.group.boxplot(
  .data,
  .groups = NA,
  .labs = c("V genes", "Frequency"),
  .title = "",
  .rotate.x = T,
  .violin = T,
  .notch = F,
  ...
)

Arguments

.data	Either a matrix with colnames and rownames specifyed or a data frame with the first column of strings for row names and other columns stands for values.
.groups	Named list with character vectors for names of elements for each group. If NA than each member is in the individual group.
.labs	Labs names. Character vector of length 1 (for naming both axis with same name) or 2 (first elements stands for x-axis).
.title	Main title of the plot.
.rotate.x	if T then rotate x-axis.
.violin	If T then plot a violin plot.
.notch	"notch" parameter to the geom_boxplot ggplo2 function.
...	Parameters passed to melt, applied to .data before plotting in vis.group.boxplot.

Value

ggplot object.

Examples

## Not run: 
names(immdata)  # "A1" "A2" "B1" "B2" "C1" "C2"
# Plot a boxplot for V-usage for each plot
# three boxplots for each group.
vis.group.boxplot(freq.Vb(immdata),
   list(A = c('A1', 'A2'), B = c('B1', 'B2'), C = c('C1', 'C2')),
   c('V segments', 'Frequency'))

data(twb)
ov <- repOverlap(twb)
sb <- matrixSubgroups(ov, list(tw1 = c('Subj.A', 'Subj.B'), tw2 = c('Subj.C', 'Subj.D')));
vis.group.boxplot(sb)

## End(Not run)

tcR documentation built on July 2, 2020, 3:18 a.m.