Behavioral Correlates PLS

Convenience function for behavior PLS analysis, identifying brain patterns that correlate with behavioral measures (reaction time, accuracy, etc.).

Usage

behav_pls(
  datamat_lst,
  behav_data,
  num_subj_lst,
  num_cond,
  cormode = 0L,
  nperm = 1000,
  nboot = 500,
  site = NULL,
  ...
)

Arguments

datamat_lst

List of data matrices (one per group).

behav_data

Matrix of behavioral measures. Rows must match stacked datamat, columns are different behavioral measures.

num_subj_lst

Integer vector with number of subjects per group.

num_cond

Number of conditions.

cormode

Correlation mode (0=Pearson, 2=covariance, 4=cosine, 6=dot).

nperm

Number of permutations (default 1000).

nboot

Number of bootstrap samples (default 500).

site

Optional subject-level site labels used for multisite diagnostics after fitting.

...

Additional arguments passed to pls_analysis().

Value

A pls_result object with class pls_behavior.

Examples

if (FALSE) { # \dontrun{
# Behavioral measures: RT and accuracy
behav <- cbind(rt = rt_data, accuracy = acc_data)

result <- behav_pls(
  datamat_lst = list(brain_data),
  behav_data = behav,
  num_subj_lst = 30,
  num_cond = 4
)
} # }