mv_boxplot: Missing value boxplots

In computational-metabolomics/structtoolbox: Data processing & analysis tools for Metabolomics and other omics

Missing value boxplots

Description

Boxplots of the number of missing values per sample/feature.

Usage

mv_boxplot(
  label_outliers = TRUE,
  by_sample = TRUE,
  factor_name,
  show_counts = TRUE,
  ...
)

Arguments

label_outliers	(logical) Label outliers. Allowed values are limited to the following: "TRUE": Sample labels for potential outliers are displayed on the plot. "FALSE": Sample labels are not included on the plot. The default is TRUE.
by_sample	(logical) Plot by sample or by feature. Allowed values are limited to the following: "TRUE": Missing values are plotted per sample. "FALSE": Missing values are plotted per feature. The default is TRUE.
factor_name	(character) The name of a sample-meta column to use.
show_counts	(logical) Show counts. Allowed values are limited to the following: "TRUE": The number of samples for each box is displayed. "FALSE": The number of samples for each box is not displayed. The default is TRUE.
...	Additional slots and values passed to struct_class.

Value

A mv_boxplot object. This object has no output slots. See chart_plot in the struct package to plot this chart object.

Inheritance

A mv_boxplot object inherits the following struct classes:

⁠[mv_boxplot]⁠ >> ⁠[chart]⁠ >> ⁠[struct_class]⁠

Examples

M = mv_boxplot(
      label_outliers = FALSE,
      by_sample = FALSE,
      factor_name = "V1",
      show_counts = FALSE)

D = MTBLS79_DatasetExperiment()
C = mv_boxplot(factor_name='Class')
chart_plot(C,D)

computational-metabolomics/structtoolbox documentation built on July 2, 2024, 10:46 p.m.