TPLSdat

A dataset containing five sample participant's binary button presses inside the scanner (left/right).

datasets

Uses thresholded partial least squares algorithm to create a regression or classification model. For more information, see Lee, Bradlow, and Kable <doi:10.1101/2021.02.09.430524>.

Sangil Lee

TPLSr

Thresholded Partial Least Squares Model for Neuroimaging Data

TPLSdat function

A data frame with following variables<dl class="dl-horizontal">
 <dt>X</dt><dd>Brain image single trial coefficients. N-by-v matrix</dd>
 <dt>Y</dt><dd>Left = 0, Right = 1, binary indicator of participant choice</dd>
 <dt>subj</dt><dd>Subject number (i.e., 1, 2, 3)</dd>
 <dt>run</dt><dd>Run number (i.e., 1, 2, 3, 4, 5, 6, 7, 8)</dd>
 <dt>mask</dt><dd>Binary 3D brain image that indexes where the variables in X came from.</dd>
</dl>

Format

Sample participant data from a left-right button press task — TPLSdat

A data frame with following variables<dl class='dl-horizontal'>
 <dt>X</dt><dd>Brain image single trial coefficients. N-by-v matrix</dd>
 <dt>Y</dt><dd>Left = 0, Right = 1, binary indicator of participant choice</dd>
 <dt>subj</dt><dd>Subject number (i.e., 1, 2, 3)</dd>
 <dt>run</dt><dd>Run number (i.e., 1, 2, 3, 4, 5, 6, 7, 8)</dd>
 <dt>mask</dt><dd>Binary 3D brain image that indexes where the variables in X came from.</dd>
</dl>

TPLSdat: Sample participant data from a left-right button press task

Description

Usage

Arguments

Format