boxplot_subject: Plot interactive boxplots of subjects

In diegr: Dynamic and Interactive EEG Graphics

Plot interactive boxplots of subjects

Description

Function for plotting interactive boxplots of EEG amplitude for individual subjects for selected channel within the chosen time interval. The interactive plotly output enables to easily determine the subjects with outlier amplitude and also allows to easily edit the image layout.

Usage

boxplot_subject(
  data,
  amplitude = "signal",
  subject = NULL,
  channel,
  time_lim,
  use_latex = TRUE
)

Arguments

data	A data frame or a database table with EEG dataset. Required columns: subject, sensor, time and the column with EEG amplitude named as in amplitude parameter.
amplitude	A character specifying the name of the column from input data with an EEG amplitude values. Default is "signal".
subject	A vector with IDs of subjects to plot. If missing, boxplots are drawn for all avaliable subjects in data.
channel	An integer or character ID of channel to plot.
time_lim	A numeric vector with time range to plot.
use_latex	A logical value indicating whether to use LaTeX formatting for the y-axis title. The default is TRUE.

Details

The input data frame or database table must contain at least following columns: subject - a column with subject IDs, sensor - a column with sensor labels, time - a column with time point numbers, and a column with measured EEG signal values (or their averages) called as in amplitude.

Value

A plotly object with boxplots of EEG amplitude for subjects.

Examples

# Interactive boxplots of signal from channel E34 in epoch 1
# for both subjects in chosen time points
## Note: it has no statistical sense to make boxplot from only 2 observations, but
## larger example dataset is not possible due to size limit of the package
epoch1 <- epochdata|> dplyr::filter(epoch == 1)
boxplot_subject(epoch1, amplitude = "signal", channel = "E34", time_lim = c(10:20))

diegr documentation built on Nov. 5, 2025, 5:25 p.m.