draw_rand_sort: Draw one random Q-sort dataset.
In maxheld83/pensieveR: Tools for the Scientific Study of Operant Subjectivity

Description Usage Arguments Details Value Note Author(s) See Also

Draw one random Q-sort dataset, parametrized as original data.

1	draw_rand_sort(grid = NULL, n = NULL, p = NULL)

`grid`	A positive integer vector of a length covering the range of values, specifying maximum allowed frequencies for each value. (in Q-parlance, the maximum column heights for the Q-sorts).
`n`	A positive integer vector of length 1, as the number of people-variables. Defaults to `NULL`, in which case parameter is inferred from `data`.
`p`	A positive integer vector of length 1, as the number of item-cases. Defaults to `NULL`, in which case parameter is inferred from `data`.

This function draws a random dataset, parametrized as some real or hypothetical observed dataset from a Q study.

Q data has some peculiarities that must be implemented to draw comparable random datasets, and that are not addressed in existing packages implementing parallel analysis (such as paran):

Integers. The simulated data include only integers.
Draws without replacement. Because two items cannot occupy the same position in a Q-sort, random data must be drawn without replacement from the grid of available item positions (slots).
Forced or free distribution. Depending on whether the observed data resulted from a forced or free distribution, random data must be drawn from the appropriate available item positions (slots).

Helper function for run_parallel().

A random integer matrix with item-cases as rows and people-variables as columns.

Notice that in the case of a free distribution, there are no assumptions on the distributional shape (such as uni-modal, bimodal etc.). Random data for a free distribution are therefore drawn from an (on average over all people-variables) rectangular distribution over all available slots, as a neutral distributional shape. A more sophisticated parallel analysis may first infer some observed distribution parameters and then draw random data accordingly as per issue 146 on the development repo.

Maximilian Held

Other parallel-analysis: run_parallel()

maxheld83/pensieveR documentation built on Jan. 21, 2020, 9:15 a.m.