| HIPvextract {VertexWiseR} | R Documentation |
HIPvextract
Description
Extracts hippocampal vertex-wise surface-based measures for each subject in the 'HippUnfold' subjects directory, and stores it as a single .RDS file.
Usage
HIPvextract(sdirpath = "./", filename, measure = "thickness", subj_ID = TRUE)
Arguments
sdirpath |
A string object containing the path to the 'HippUnfold' subjects directory. Default is the current working directory ("./"). |
filename |
A string object containing the desired name of the output RDS file. Default is 'hip_measure.rds' in the R temporary directory (tempdir()). |
measure |
A string object containing the name of the measure of interest. Options are 'thickness','curvature','gyrification' and 'surfarea' (For more information see the 'HippUnfold' documentation). Default is thickness. |
subj_ID |
A logical object stating whether to return a list object containing both subject ID and data matrix. |
Details
The function searches for the hippocampal surface data by listing out files with certain suffixes, extract the data from these files, and organize the left and right hippocampal vertex data for each subject as rows in a N x 14524 data matrix within a .rds object.
Value
A .RDSfile with a list containing 1. the list of subject IDs (first element) and 2. a surface data matrix object (second element), or a data matrix object. The matrix can be readily used by VertexWiseR statistical analysis functions. Each row corresponds to a subject (in the same order as 1) and contains the left to right hemispheres' vertex-wise values.
Examples
HIPvextract(sdirpath = "./", filename = paste0(tempdir(),"/hip_data.RDS"), measure = "thickness")