TSTdata_missing

The data is adapted from the DPdata_missing set using the following code

datasets

A series of functions to calculate the split
half reliability of RT based tasks. The core function performs a Monte Carlo
procedure to process a user defined number of random splits in order to
provide a better reliability estimate. The current functions target the dot-
probe task, however, can be modified for other tasks.

Sam Parsons

splithalf

Calculate Task Split Half Reliability Estimates

TSTdata_missing function

A dataframe with 3840 rows and 6 variables
<ul>
<li> subject: contains participant numbers for 20 subjects
</li>
<li> blockcode: two block conditions &quot;block1&quot; and &quot;block2&quot;
</li>
<li> trialnum: 96 trials per block
</li>
<li> trialtype: sets to repeat or switch trials
</li>
<li> latency: RT measure (simulated data)
</li>
<li> correct: accuracy (set to all accurate for the example)
</li>
</ul>

TSTdata_missing: Generated dataset of Task switching data with missing data

Description

Usage

Arguments

Format

Details