visGroup: Group level plots

In github-js/acc: Exploring Accelerometer Data

Group level plots

Description

Group level plots of minutes of activity per day

Usage

visGroup(data,ID,activity,type,title,yaxis,xaxis,time,legendTitle,
         groupBy,groupFun,levels,heatcol)

Arguments

data	Summary data by day
ID	Name of column that identifies groups or individuals
activity	Name of column for activity to be plotted
type	Type of plot. Options 'boxplot' or 'heatmap'
title	Title of the plot
yaxis	Axis title for vertical axis
xaxis	Whether to pring the x axis label. Options are TRUE or FALSE
time	Name of column that contains time index
legendTitle	Title of legend for 'type=heatmap'
groupBy	Option to plot by group, for 'type=heatmap'
groupFun	If groupBy is specified, how are two groups defined? Provide a function to specify a statistic that divides the groups. For example, specify 'median' to divide the two groups by the overall median of the data.
levels	Specifies thresholds for heatmap. For example, user can specify 'levels = c(0,300,600,1440)' to plot a heatmap of four levels.
heatcol	Specifies colors for the heatmap.

Value

A plot is returned.

Author(s)

Jaejoon Song <[e-mail]>

Examples

##
## Example: A box plot
##
## Not run: 
library(acc)
data(NHANES)
NHANES_subset <- NHANES[1:300,]
visGroup(
data = NHANES_subset,
activity = 'wearTime',
ID = 'ID',
type = 'boxplot',
title = "Wear time at baseline",
yaxis = "Wear time (minutes per day)",xaxis=TRUE)


##
## Example: A heatmap
##
library(acc)
data(NHANES)
NHANES_subset <- NHANES[1:1000,]

visGroup(
data = NHANES_subset,
ID = 'ID',activity = 'wearTime',
type = 'heatmap',title = "Wear time at baseline",
yaxis = "ID",time = 'Day',
legendTitle = "Wear time",
groupBy = 'VO2max',groupFun = 'median',
levels = c(0,300,600,1440),
heatcol = c("white","mistyrose","lightpink","violetred1"))

## End(Not run)

github-js/acc documentation built on Aug. 21, 2023, 5:40 p.m.