dfConn (version 0.2.1)

data_summary_coverage: Obtain the non-zero coverage for both two conditions and the condition-based difference

Description

Summarize the data from dynamic functional connectivity linear mixed modeling.

Usage

data_summary_coverage(dataList.CI, save_res = FALSE, output_dir = NULL)

Arguments

dataList.CI

list, a list of data matrices which include the confidence interval estimates obtained from linear mixed models.

save_res

logical, whether to save the result or not, if true, an output directory should be provided

output_dir

character, directory for output files

Value

A list which contains 9 data frames:

coverage.zero.cond.diff

Percentage of estimates for condition difference that are within 95% confidence interval with a center of zero.

coverage.zero.cond.1

Percentage of estimates for condition 1 that are within 95% confidence interval with a center of zero.

coverage.zero.cond.2

Percentage of estimates for condition 2 that are below 95% confidence interval with a center of zero.

coverage.below.zero.cond.2

Percentage of estimates for condition 2 that are below 95% confidence interval with a center of zero.

coverage.below.zero.cond.diff

Percentage of estimates for condition difference that are below 95% confidence interval with a center of zero.

coverage.below.zero.cond.1

Percentage of estimates for condition 1 that are below 95% confidence interval with a center of zero.

coverage.above.zero.cond.diff

Percentage of estimates for condition difference that are above 95% confidence interval with a center of zero.

coverage.above.zero.cond.1

Percentage of estimates for condition 1 that are above 95% confidence interval with a center of zero.

coverage.above.zero.cond.2

Percentage of estimates for condition 1 that are above 95% confidence interval with a center of zero.

Examples

# NOT RUN {
# Summarize the output of linear mixed effect model for dynamic functional connectivity
data(DynModel_results)
data_summary_coverage(DynModel_results$est_CI)
# }