XYscatter: Compare Groups Based on Scatter Plots

In statVisual: Statistical Visualization Tools

Description

Compare groups based on scatter plots.

Usage

XYscatter(
    data, 
    x, 
    y, 
    group = NULL, 
    alpha = 1, 
    point.size = 3, 
    xlab = x, 
    ylab = y, 
    group.lab = group, 
    title = "Scatter plot", 
    theme_classic = TRUE, 
    addThemeFlag = TRUE,
    ...)

Arguments

data	A data frame. Rows are subjects; Columns are variables describing the subjects.
x	character. The column name of data that indicates the variable on the x axis of the scatter plot
y	character. The column name of data that indicates the variable on the y axis of the scatter plot
group	character. The column name of data that indicates the subject groups. The scatter plot will be drawn for each of the subject group. It also indicates the colors of the data points in the scatter plots.
alpha	Transparency of histogram inside color.
point.size	numeric. Indicate the size of the data points
xlab	x axis label
ylab	y axis label
group.lab	label of group variable
title	title of the plot
theme_classic	logical. Use classic background without grids (default: TRUE).
addThemeFlag	logical. Indicates if light blue background and white grid should be added to the figure.
...	other input parameters for facet & theme

Value

A list with 9 elements. data, layers, scales, mapping, theme, coordinates, facet plot_env, and labels.

Author(s)

Wenfei Zhang <[e-mail]>, Weiliang Qiu <[e-mail]>, Xuan Lin <[e-mail]>, Donghui Zhang <[e-mail]>

Examples

data(diffCorDat)

print(dim(diffCorDat))
print(diffCorDat[1:2,])

statVisual(type = 'XYscatter',
  data = diffCorDat, 
  x = 'probe1', 
  y = 'probe2', 
  group = 'grp', 
  title = 'Scatter Plot: probe1 vs probe2')

XYscatter( 
  data = diffCorDat, 
  x = 'probe1', 
  y = 'probe2', 
  group = 'grp', 
  title = 'Scatter Plot: probe1 vs probe2')

statVisual documentation built on Feb. 21, 2020, 1:08 a.m.