Create a Boxplot with Points — quick.boxplot • guzioR

Generate a boxplot with points. Data must be structured to have x, y, and grouping variables in separate columns.

Usage

quick.boxplot(
  data,
  x.var,
  y.var,
  group.var = NULL,
  facet.var = NULL,
  post.hoc = "dunn_test",
  ns.comp = TRUE,
  adj.method = "BH",
  x.lab = deparse(substitute(x.var)),
  y.lab = deparse(substitute(y.var)),
  color.lab = deparse(substitute(group.var))
)

Arguments

data: Data frame or table to be used in plotting.
x.var: Variable to be used on the x axis.
y.var: Continuous variable used for y axis.
group.var: Variable used for grouping and color. Default is none.
facet.var: Variable used for creating facets that will then be plotted together. Does not need to be included if there isn't one.
post.hoc: Statistical test used for determining significance between groups. Default is Dunn's test. Allowable methods are those from the rstatix R package: "wilcox_test", "t_test", "sign_test", "dunn_test", "emmeans_test", "tukey_hsd", "games_howell_test".
ns.comp: TRUE if only significant comparisons should be shown, FALSE if all comparisons should be shown. If adj.method is set to "none", only significant unadjusted p.values will be shown.
adj.method: Method used for p value adjustment across all p.values present in a plot. Default is Benjamini-Hochburg. Allowable methods are those from 'p.adjust'.
x.lab: X axis label.
y.lab: Y axis label
color.lab: Color label.

Value

A ggplot object.