dfConn (version 0.2.1)

nzc_vis: Non-zero coverage correlation matrix visualization

Description

Visualize non-zero coverage of dynamic functional connectivity modeling estimates.

Usage

nzc_vis(coverage.tbl.list, model_results, roi, ntps.per.scan,
  save_fig = FALSE, output_dir = NULL, alpha = 0.05,
  thres.cond1 = 0.5, thres.cond2 = 0.5, thres.diff = 0.1)

Arguments

coverage.tbl.list

A list with a list of zero-coverage table, can be obtained from data_summary_coverage.

model_results

data frame, output of either lmmConn or lmmDyn.

roi

integer vector, specify the list of regions of interests.

ntps.per.scan

integer, number of timepoints per scan.

save_fig

logical, whether to save the figures locally.

output_dir

character string, output directory of figures to save.

alpha

alpha level of proportion-testing, default is 0.05.

thres.cond1

numeric, threshold for cond1 flavor proportion-test, default is 0.5.

thres.cond2

numeric, threshold for cond2 flavor proportion-test, default is 0.5.

thres.diff

numeric, threshold for proportion-test of difference between condition 1 and condition 2 .

Examples

# NOT RUN {
# load sample summary of the linear mixed model output
data(coverage.tbl.list)
data(DynModel_results)
nzc_vis(coverage.tbl.list, DynModel_results$modelDyn_results,
        roi=c(54,191,235), DynModel_results$params$ntp_per_scan, save_fig=FALSE)
# }