06_Nascimento: Example 6. Discrimination of image approximations
In modelfree: Model-free estimation of a psychometric function
Description
Usage
Format
References
Description
The subject was shown an image of a natural scene and an approximation of this image based on principal component analysis. The task was to distinguish between the images.
Usage
1
data( "06_Nascimento" )
Format
Data frame with three columns for 8 stimulus levels:
x: Stimulus level.
r: Number of successes.
m: Number of trials.
References
Nascimento, S.M.C., Foster, D.H., \& Amano, K. “Psychophysical estimates of the number of spectral-reflectance basis functions needed to reproduce natural scenes”, Journal of the Optical Society of America A-Optics Image Science and Vision, 22 (6), 1017-1022, 2005.
modelfree documentation built on May 2, 2019, 6:07 p.m.
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Description Usage Format References
Description
The subject was shown an image of a natural scene and an approximation of this image based on principal component analysis. The task was to distinguish between the images.
Usage
1 | data( "06_Nascimento" )
|
Format
Data frame with three columns for 8 stimulus levels:
x: Stimulus level.
r: Number of successes.
m: Number of trials.
References
Nascimento, S.M.C., Foster, D.H., \& Amano, K. “Psychophysical estimates of the number of spectral-reflectance basis functions needed to reproduce natural scenes”, Journal of the Optical Society of America A-Optics Image Science and Vision, 22 (6), 1017-1022, 2005.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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