stats_to_lhood: Convert data frame of category statistics into likelihoods
In kleinschmidt/phonetic-sup-unsup: Supervised/unsupervised adaptation analysis
Description
Usage
Arguments
Value
Description
Convert data frame of category statistics into likelihoods
Usage
1
stats_to_lhood(stats, noise_sd = sd_noise, xlim = c(-30, 90))
Arguments
stats
data frame with columns category, mean, and sd
noise_sd
standard deviation of sensory noise (added, in variance
space, to all category sds)
xlims
where to compute liklelihood.
Value
data frame with columns vot, category, and lhood
kleinschmidt/phonetic-sup-unsup documentation built on May 20, 2019, 12:33 p.m.
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Description Usage Arguments Value
Description
Convert data frame of category statistics into likelihoods
Usage
1 | stats_to_lhood(stats, noise_sd = sd_noise, xlim = c(-30, 90))
|
Arguments
stats |
data frame with columns category, mean, and sd |
noise_sd |
standard deviation of sensory noise (added, in variance space, to all category sds) |
xlims |
where to compute liklelihood. |
Value
data frame with columns vot, category, and lhood
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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