Texture: Three-way Conjoint Measurement Data for Texture Regularity.

In MLCM: Maximum Likelihood Conjoint Measurement

Three-way Conjoint Measurement Data for Texture Regularity.

Description

Data from one subject, S1, for a 3-way MLCM experiment in which the element spacing, element size and inter-element jitter of dot patterns were systematically varied. Pairs of stimuli were presented with the 3 attributes varied independently, and the subject judged which of the pair appeared more regular.

Usage

data("Texture")

Format

A data frame with 4140 observations on the following 7 variables.

Resp

a numeric vector taking values 0/1 depending on whether the subject chose the first or second stimulus as more regular.

S1

a numeric vector indicating which of 3 levels of average element spacing for the first stimulus.

S2

a numeric vector indicating which of 3 levels of average element spacing for the second stimulus.

Z1

a numeric vector indicating which of 3 levels of element size for the first stimulus.

Z2

a numeric vector indicating which of 3 levels of element size for the second stimulus.

J1

a numeric vector indicating which of 5 levels of element jitter for the first stimulus.

J2

a numeric vector indicating which of 5 levels of element jitter for the second stimulus.

Details

The authors describe the data sets as follows. Each participant completed 4140 experimental trials, as shown in the 4140 rows: Column 1: response value. 0: participant chose stimulus 1 of a pair as more regular. 1: participant chose stimulus 2 as more regular. Column 2: element spacing level (1–3) for stimulus 1. Column 3: element spacing level (1–3) for stimulus 2. Column 4: element size level (1–3) for stimulus 1. Column 5: element size level (1–3) for stimulus 2. Column 6: element jitter level (1–5) for stimulus 1. Column 7: element jitter level (1–5) for stimulus 2. Note, the trial order was randomized during the experiment.

Additional data files for the other 5 participants in the study can be found in csv format files at doi: 10.1371/journal.pcbi.1008802. With respect to the original file, the current data set was modified to include column names.

A fuller analysis of this data set can be found in the examples at mlcm.

Source

Sun H.-C., St-Amand D., Baker C. L. Jr, Kingdom F. A. A. (2021), Visual perception of texture regularity: Conjoint measurements and a wavelet response-distribution model. PLoS Computational Biology 17(10), e1008802. doi: 10.1371/journal.pcbi.1008802.

References

Knoblauch K., Maloney L. T. (2012) Modeling Psychophysical Data in R, Springer Science \& Business Media, doi: 10.1007/978-1-4614-4475-6.

Examples

data(Texture)
# additive model fit
Texture.mlcm <- mlcm(Texture)
summary(Texture.mlcm)
plot(Texture.mlcm, type = "b")

MLCM documentation built on March 18, 2022, 7:31 p.m.