Plot SCC bands and mean estimate for a single group

This function visualizes the lower band, mean estimate, and upper band from a single-group Simultaneous Confidence Corridor (SCC) result. It returns a three-panel plot showing the estimated mean function and its confidence bands over the neuroimaging domain.

Usage

plotSCCpanel(scc, title = NULL, zlim = "auto", palette = "nih")

Arguments

scc

A list-like SCC result object, typically returned by ImageSCC::scc.image(), containing at least the components Z, ind.inside.cover, scc, and Yhat.

title

character, title shown above the panel. If NULL, the default title is "SCC FOR GROUP 1".

zlim

Either "auto" to compute color limits from the plotted values, or a numeric vector of length 2 specifying the lower and upper limits of the fill scale.

palette

character, color palette used in the heatmaps. Supported values are "nih", "viridis", and "gray".

Value

A patchwork/ggplot object containing three aligned panels:

• lower SCC band,

• mean estimate,

• upper SCC band.

Details

The three panels are displayed using a shared color scale so that the lower band, mean estimate, and upper band can be compared directly.

The function assumes that the second slice of scc$scc[, , 2] corresponds to the SCC bands for the default significance level used in the package workflow.

See also

sccOneGroup for the example single-group SCC object used in the examples.
SCCcomp for a two-group SCC example object.
plotSCCcomparisonPanel for two-group SCC visualization.
plotValidationPanel for SCC versus SPM performance visualization.

Examples

data("sccOneGroup", package = "neuroSCC")
plotSCCpanel(sccOneGroup, title = "SCC FOR CONTROL GROUP")