Second, for each subject we constructed a separate GLM using a factorial design.
From the nature.com
For the vast majority of factorial experiments, each factor has only two levels.
From the en.wikipedia.org
Examples of such functions include the factorial function and related functions.
From the en.wikipedia.org
A factorial experiment allows for estimation of experimental error in two ways.
From the en.wikipedia.org
Intuitively, f in F is a place-holder argument for the factorial function itself.
From the en.wikipedia.org
The factorial function, generalized to all real numbers except negative integers.
From the en.wikipedia.org
As a result, one is its own factorial, its own square, its own cube, and so on.
From the en.wikipedia.org
The simplest factorial experiment contains two levels for each of two factors.
From the en.wikipedia.org
Given 101, the Mertens function returns 0. 101 is the fifth alternating factorial.
From the en.wikipedia.org
More examples
The product of all the integers up to and including a given integer; "1, 2, 6, 24, and 120 are factorials"
Of or relating to factorials
The result of multiplying a given number of consecutive integers from 1 to the given number. In equations, it is symbolized by an exclamation mark (!). For example, 5! = 1 * 2 * 3 * 4 * 5 = 120
The FACTORIAL operator is applicable to a non-negative integer quantity. It is notated as the postfixed symbol '!'. The resulting value is the product of the increasing integer values from 1 up to the value of the argument quantity. For instance : 3! is 1x2x3 = 6. By convention 0! ...
Definition: The product of a whole number multiplied by every whole number between itself and 1, written using the notation n!.
Is often used as a (poor) example of recursion, since n!
Product of a set of integers, x! is the notation for factorial. example: 3! means 3 x 2 x 1 or the product equals six.
An operation represented by the symbol "!". The term n! is equal to multiplying n by all of the positive whole number integers that are less than it.
This is like determining the 80/20 rule within your testing. What little bit is really making the difference?