vectorizeFC

vectorizing and concatenating and M x M matrices

vectorizeFC(
  FC_dir,
  filename = "FCmat.rds",
  task,
  fisherz = TRUE,
  timeseries = FALSE
)

Arguments

FC_dir

the directory containing the M x M matrices (saved as .csv files)

filename

the output format of the concatenated group level matrix. Only filenames with the *.csv or *.rds extensions are accepted. The .rds format uses less disk space. Set to 'FCmat.rds' by default

task

A string to select the .csv files with a specific taskname.

fisherz

TRUE or FALSE option specifying if the edge values should undergo a fisher-Z transformation. This would be applicable in cases and functional connectivity is calculated as a pearson's correlation coefficient. Set to TRUE by default.

timeseries

TRUE or FALSE option specifying if the parcellated timeseries are used as inputs. Set to FALSE by default.

Value

Depending on whether a filename with a .csv or .rds file extension is specified, outputs a .csv file containing the N x ((M x M)-M)/2 matrix or a .rds file containing a list object: 1)N x ((M x M)-M)/2 matrix, 2) a vector of subject IDs.

Details

This function reads the M x M matrices (saved as .csv files) in a directory, vectorizes and concatenates them into a single N x ((M x M)-M)/2 matrix. N= number of subjects; M=number of nodes in the connectome

Examples

if (FALSE) {
vectorizeFC(FC_dir="FCmat", filename="FCmat.rds", fisherz=TRUE)
}