hrm.plot: Plots profiles of the groups in case of one whole- and one...

In happma/HRM: High-Dimensional Repeated Measures

Description

Plots profiles of the groups in case of one whole- and one subplot-factor.

Usage

hrm.plot(data, group, factor1, subject, response, xlab = "time",
  ylab = "mean", legend = TRUE, legend.title = NULL)

Arguments

data	A data.frame containing the data
group	column name within the data frame data specifying the groups
factor1	column name within the data frame data specifying the first subplot-factor
subject	column name within the data frame X identifying the subjects
response	column name within the data frame X containing the response variable
xlab	label of the x-axis of the plot
ylab	label of the y-axis of the plot
legend	logical indicating if a legend should be plotted
legend.title	title of the legend

Value

Plots profiles of the groups.

Examples

data(EEG)
head(EEG)

# plots profiles according to groups with
# subplot-factor called dimension

# first create an HRM object
object_hrm <- hrm_test(value ~ group*dimension, subject = "subject", data = EEG)

# plot the HRM object, here we use the additional argument 'theme_bw()' for ggplot2
plot(object_hrm, legend = TRUE, legend.title = "Group", ... =  theme_bw() )

# same plot without a legend
# note that 'theme_bw' overwrites the standard legend properties of plot.HRM
plot(object_hrm, ... =  theme_bw() +
  theme(legend.title = element_blank(), legend.position="none") )

happma/HRM documentation built on Feb. 11, 2020, 3:50 a.m.