medin87train | R Documentation |

Creates randomized training blocks for Experiment 1 in Medin et
al. (1987), in a format that is suitable for `slpALCOVE`

,
`slpSUSTAIN`

, and other models that use either of those
input-representation formats.

medin87train(blocks = 2, subjs = 2, seed = 7649, missing = 'pad')

`subjs` |
Number of simulated participants to run. |

`blocks` |
Number of blocks to generate. The ten trial types are randomized within each block. |

`seed` |
Set random seed. |

`missing` |
If set to 'geo', output missing dimension flags (see below). If set to 'pad', use the padded stimulus representation format of slpSUSTAIN. |

A matrix is produced, with one row for each trial, and with the following columns:

`ctrl`

- Set to 4 on the first trial for each participant - 4 resets
the model to the initial state and does unsupervised learning afterwards.
Set to 3 for unsupervised trials - normal unsupervised learning
trial.

`blk`

- Training block.

`stim`

- Stimulus number, ranging from 1 to 10. The numbering scheme
is the same as in Medin et al. (1987, Fig. 1).

`x1, x2, ...`

- input representation. Where
`missing='geo'`

, x1, x2, and x3 are returned, each set at 1 or
0. This is the binary dimensional representation required by models
such as slpALCOVE, where e.g. x2 is the value on the second
dimension. Where `missing='pad'`

, w1, w2, x1, x2, y1, y2, z1,
z2, are returned. This is the padded represenation required by
models such as slpSUSTAIN; e.g. y1 and y2 represent the two possible
values on dimension 3, so if y1 is black, y2 is white, and the
stimulus is white, then [y1, y2] = [0, 1].

Although the trial ordering is random, a random seed is used, so multiple calls of this function with the same parameters should produce the same output. This is usually desirable for reproducibility and stability of non-linear optimization. To get a different order, use the seed argument to set a different seed.

R by C matrix, where each row is one trial, and the columns contain model input.

Lenard Dome, Andy Wills

Medin, D. L., Wattenmaker, W. D., & Hampson, S. E. (1987). Family
resemblance, conceptual cohesiveness, and category construction.
*Cognitive Psychology, 19(2)*, 242–279.

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