mv_boxplot: Missing value boxplots

In structToolbox: Data processing & analysis tools for Metabolomics and other omics

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.

Examples

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

structToolbox documentation built on Nov. 8, 2020, 6:54 p.m.