image.statMap | R Documentation |
Uses a statMap with inferences results to visualize CEI, CMI, or maxima
## S3 method for class 'statMap'
image(
x,
method = c("CEI", "maxima", "CMI"),
cft_s = NULL,
cft_p = NULL,
cft_chisq = NULL,
roi = NULL,
index = NULL,
alpha = NULL,
clusterMask = TRUE,
clusterID = TRUE,
title = "",
plane = c("axial", "sagittal", "coronal"),
crop = TRUE,
lo = TRUE,
...
)
x |
the statMap that created the pbj object. |
method |
Which inference method to visualize. |
cft_s |
The cluster forming threshold or threshold for visualizing results on the RESI effect size scale. |
cft_p |
The cluster forming threshold or threshold for visualizing results on the p-value scale. |
cft_chisq |
The cluster forming threshold or threshold for visualizing results on the chi-squared scale. |
roi |
Which ROI index to visualize. |
index |
Which slices to visualize. Default is all slices |
alpha |
Adjusted p-value threshold to display clusters. |
clusterMask |
logical indicating whether to mask the results with significant clusters. |
clusterID |
logical indicating whether to include the clusterID in the figure. |
title |
Character passed to image.niftiImage |
plane |
Which anatomical plane to visualize. |
crop |
Whether to crop white space from image. Defaults to TRUE. |
lo |
Whether to perform layout call to arrange images. Defaults to true. |
... |
Arguments passed to par. |
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