isi.spearman.rank.corr: Returns Spearman's rank correlation coefficient of ISI. The...
In sje30/sjemea: Multi electrode analysis
isi.spearman.rank.corr R Documentation
Returns Spearman's rank correlation coefficient of ISI. The spike train is
split into chunks and the result is a mean of coefficients calculated per
each chunk.
Description
The coefficient measures monotonicity of ISI, and is calculated according
to formula:
rho = n / (n - 1) * sum_i=1^i=n-1 (r_i - mean(r)) * (r_i+1 - mean(r))
/ sum_i=1^i=n (r_i - mean(r)^2)
where r_i is a rank order of ISI i, equal ISI ranks are assigned average
rank
Usage
isi.spearman.rank.corr(spike.train, chunk.length = 100)
Arguments
spike.train
vector of spike times
chunk.length
length for chunks used for computation
Value
Spearman's rank correlation coefficient or 0 if not enough spikes
sje30/sjemea documentation built on May 21, 2024, 5:44 a.m.
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| isi.spearman.rank.corr | R Documentation |
Returns Spearman's rank correlation coefficient of ISI. The spike train is split into chunks and the result is a mean of coefficients calculated per each chunk.
Description
The coefficient measures monotonicity of ISI, and is calculated according to formula: rho = n / (n - 1) * sum_i=1^i=n-1 (r_i - mean(r)) * (r_i+1 - mean(r)) / sum_i=1^i=n (r_i - mean(r)^2) where r_i is a rank order of ISI i, equal ISI ranks are assigned average rank
Usage
isi.spearman.rank.corr(spike.train, chunk.length = 100)
Arguments
spike.train |
vector of spike times |
chunk.length |
length for chunks used for computation |
Value
Spearman's rank correlation coefficient or 0 if not enough spikes
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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