plot-SPANSRes: Plot SPANSRes Object

In pmartR/pmartR: Panomics Marketplace - Quality Control and Statistical Analysis for Panomics Data

Plot SPANSRes Object

Description

For plotting an S3 object of type 'SPANSRes'

Usage

## S3 method for class 'SPANSRes'
plot(
  x,
  interactive = FALSE,
  x_lab = NULL,
  y_lab = NULL,
  x_lab_size = 11,
  y_lab_size = 11,
  x_lab_angle = NULL,
  title_lab = NULL,
  title_lab_size = 14,
  legend_lab = NULL,
  legend_position = "right",
  color_low = NULL,
  color_high = NULL,
  bw_theme = TRUE,
  ...
)

Arguments

x	an object of the class 'SPANSRes', created by spans_procedure
interactive	logical value. If TRUE produces an interactive plot.
x_lab	character string specifying the x-axis label.
y_lab	character string specifying the y-axis label.
x_lab_size	integer value indicating the font size for the x-axis. The default is 11.
y_lab_size	integer value indicating the font size for the y-axis. The default is 11.
x_lab_angle	integer value indicating the angle of x-axis labels. The default is NULL.
title_lab	character string specifying the plot title
title_lab_size	integer value indicating the font size of the plot title. The default is 14.
legend_lab	character string specifying the legend title
legend_position	character string specifying the position of the legend. Can be one of "right", "left", "top", "bottom", or "none". The default is "none".
color_low	character string specifying the color of the gradient for low values.
color_high	character string specifying the color of the gradient for high values
bw_theme	logical value. If TRUE uses the ggplot2 black and white theme.
...	further arguments passed to or from other methods.

Value

ggplot2 plot object if interactive is FALSE, or plotly plot object if interactive is TRUE

Examples

library(pmartRdata)
data(pep_object)
mypep <- edata_transform(omicsData = pep_object, data_scale = "log2")
mypep <- group_designation(omicsData = mypep, main_effects = "Phenotype")
myspans <- spans_procedure(omicsData = mypep)
plot(myspans)

pmartR/pmartR documentation built on April 24, 2024, 10:22 p.m.