Generates an interactive Shiny app that plots the design matrix for a given fMRI model. The design matrix is first converted into a long-format tibble and then plotted over time, faceted by block. Several customization options allow you to adjust the title, axis labels, line thickness, color palette, and more.
Usage
design_plot(
fmrimod,
term_name = NULL,
longnames = FALSE,
plot_title = NULL,
x_label = "Time (s)",
y_label = "Amplitude",
line_size = 1,
color_palette = "viridis",
facet_ncol = 2,
theme_custom = ggplot2::theme_minimal(base_size = 15) + ggplot2::theme(panel.spacing =
ggplot2::unit(1, "lines")),
legend_threshold = 30,
...
)Arguments
- fmrimod
An
fmri_modelobject.- term_name
Optional: Name of the term to plot. If
NULL(the default), the first term is used.- longnames
Logical; if TRUE, use long condition names in the legend. Default is FALSE.
- plot_title
Optional plot title. If
NULL, a default title is generated.- x_label
Label for the x-axis. Default is "Time".
- y_label
Label for the y-axis. Default is "Value".
- line_size
Numeric; line thickness for the plot. Default is 1.
- color_palette
Character; name of a ColorBrewer palette to use (e.g., "Set1"). Default is "Set1".
- facet_ncol
Number of columns for facet_wrap. Default is 1.
- theme_custom
A ggplot2 theme to apply. Default is
theme_bw(base_size = 14).- legend_threshold
Numeric; if the number of unique conditions exceeds this value, the legend is hidden. Default is 25.
- ...
Additional arguments passed to ggplot2::geom_line().