Adaptive Filtering

This is an self-adaptive version (item number is adaptive to user's ability) of filtering task. Only two conditions are included, i.e., condition of no distractor and condition of two distractors.

Usage

condstairs(data, .by = NULL, .input = NULL, .extra = NULL)

Arguments

data

Raw data of class data.frame.

.by

The column name(s) in data used to be grouped by. If set to NULL (default), all data will be treated as from one subject and there will be no grouping columns in the value returned.

.input, .extra

Each is a list() containing all the input variable names and special values for certain variables. See more in the details section.

Value

An object with the same class as data contains following values:

capacity0

The mean number of target in condition of no distractors.

capacity2

The mean number of target in condition of 2 distractors.

capacity

The mean number of target in both conditions.

efficiency

The filtering efficiency, .i.e, difference between condition of no distractors and two distractors.