LinePlot: Compare Groups Based on Trajectory Plots

In statVisual: Statistical Visualization Tools

Description

Compare groups based on trajectory plots. Trajectories belonging to different groups will have different colors.

Usage

LinePlot(
    data, 
    x, 
    y, 
    sid,
    group = NULL, 
    xFlag = FALSE,
    points = TRUE, 
    point.size = 1, 
    theme_classic = TRUE, 
    xlab = x, 
    ylab = y, 
    title = "Trajectory plot", 
    xLevel = NULL,
    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 time.
y	character. The column name of data that indicates the variable on y axis
sid	character. The column name of data that indicates the subject id.
group	character. The column name of data that indicates the subject groups. The trajectories of subjects in the same group will have the same color.
xFlag	logical. Indicate if x should be treated as continuous (xFlag=TRUE)
points	logical. Indicates if points will be added to the trajectories on the coordinate (x, y).
point.size	numeric. size of the data points on the trajectories
theme_classic	logical. Use classic background without grids (default: TRUE).
xlab	character. x axis label
ylab	character. y axis label
title	character. title of plot
xLevel	character. A character vector indicating the order of the elements of x to be shown on x-axis if is.null(x)==FALSE.
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 the following 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(longDat)

print(dim(longDat))
print(longDat[1:3,])

print(table(longDat$time, useNA = "ifany"))
print(table(longDat$grp, useNA = "ifany"))
print(table(longDat$sid, useNA = "ifany"))

print(table(longDat$time, longDat$grp))

statVisual(type = "LinePlot",
  data = longDat,
  x = 'time',
  y = 'y',
  sid = 'sid',
  group = 'grp')

LinePlot(
  data = longDat,
  x = 'time',
  y = 'y',
  sid = 'sid',
  group = 'grp')

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