wo89xt
(Package: mdsdt) :
Cross-tabulated concurrent detection data
This data set contains a slightly coarse-grained version of Table 1 from Wickens and Olzak (1989). For each of four possible combinations of stimuli, participants gave a graded confidence judgement (collapsed here to 1-4) on both dimensions concurrently. A rating of 1 corresponded to "definitely absent" and a rating of 4 corresponded to "definitely present".
● Data Source:
CranContrib
● Keywords:
● Alias: wo89xt
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summary.grt
(Package: mdsdt) :
Summarize the object returned by fit.grt
Summarize the object returned by fit.grt
● Data Source:
CranContrib
● Keywords:
● Alias: summary.grt
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0 images
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print.grt
(Package: mdsdt) :
Print the object returned by fit.grt
Print the object returned by fit.grt
● Data Source:
CranContrib
● Keywords:
● Alias: print.grt
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0 images
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thomas15a
(Package: mdsdt) :
3x3 face recognition confusion matrix for Observer A
This data set contains the results of a 3x3 full-report face recognition experiment reported in Thomas et al (2015). The two channels are degree of eye separation and nose width, with three levels on each dimension.
● Data Source:
CranContrib
● Keywords:
● Alias: thomas15a
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silbert09a
(Package: mdsdt) :
2x2 Frequency vs. Duration confusion matrix
Confusion matrix from auditory perception experiment, in which listeners identified noise stimuli varying across frequency range and duration (Experiment 1, Observer 3 in Ref.)
● Data Source:
CranContrib
● Keywords:
● Alias: silbert09a
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silbert09b
(Package: mdsdt) :
2x2 Pitch vs. Timbre confusion matrix
Confusion matrix from auditory perception experiment, in which listeners identified 13-component harmonic stimuli varying across fundamental frequency and location of spectral prominence (Experiment 2, Observer 7 in Ref..
● Data Source:
CranContrib
● Keywords:
● Alias: silbert09b
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0 images
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anova.grt
(Package: mdsdt) :
Compare nested GRT models
Conducts a likelihood-ratio G-test on nested GRT models. Currently only accepts pairs of nested models, not arbitrary sequences.
● Data Source:
CranContrib
● Keywords:
● Alias: anova.grt
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0 images
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plot.grt
(Package: mdsdt) :
Plot the object returned by fit.grt
Plot the object returned by fit.grt
● Data Source:
CranContrib
● Keywords:
● Alias: plot.grt
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0 images
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GOF
(Package: mdsdt) :
Conduct goodness of fit tests
Includes a number of common goodness of fit measures to compare different GRT models.
● Data Source:
CranContrib
● Keywords:
● Alias: GOF
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fit.grt
(Package: mdsdt) :
Fit full Gaussian GRT model
Fit the mean and covariance of a bivariate Gaussian distribution for each stimulus class, subject to given constraints. Standard case uses confusion matrix from a 2x2 full-report identification experiment, but will also work in designs with N levels of confidence associated with each dimension (e.g. in Wickens, 1992).
● Data Source:
CranContrib
● Keywords:
● Alias: fit.grt
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