shin92oat: Ordinal adequacy test for simulations of shin92 CIRP

View source: R/shin92oat.R

shin92oatR Documentation

Ordinal adequacy test for simulations of shin92 CIRP


Tests whether a model output passes the ordinal adequacy criterion for the shin92 CIRP.


  shin92oat(dta, xtdo=FALSE)



Matrix containing model output. The matrix must have the same format, row order, and column names, as that returned by shin92exalcove; with that proviso, the output of any simulation implementation can be handled by this function.


eXTenDed Output: Either TRUE or FALSE


This function implements the Wills et al. (2017) ordinal adequacy test for the shin92 CIRP. Specifically, a model passes this test if response accuracy is higher for novel items from the size-10 condition than novel items from the size-3 condition.

Alternatively, by setting xtdo to TRUE, this function returns the summary model predictions reported by Wills et al. (2017).


Where xtdo=FALSE, this function returns TRUE if the ordinal adequacy test is passed, and FALSE otherwise.

Where xtdo=TRUE, this function returns a summary matrix. The rows are the two category sizes, the columns are the three principal stimulus types (old, prototype, new), and the values are predicted accuracy scores.


Andy Wills and Garret O'Connell


Shin, H.J. & Nosofsky, R.M. (1992). Similarity-scaling studies of dot-pattern classification and recognition. Journal of Experimental Psychology: General, 121, 278–304.

Wills, A.J., O'Connell, G., Edmunds, C.E.R. & Inkster, A.B. (2017). Progress in modeling through distributed collaboration: Concepts, tools, and category-learning examples. The Psychology of Learning and Motivation, 66, 79-115.

See Also


catlearn documentation built on March 26, 2022, 1:07 a.m.