pvalueConsec: Correct p-values in time-series
In tdeenes/eegR: Analyze EEG Signals
Description
Usage
Arguments
Value
Description
pvalueConsec sets a minimal consecutive length criterion on the
p-values in a time series
Usage
1
pvalueConsec(dat, sig_level = 0.05, min_length = 10)
Arguments
dat
a numeric matrix or array containing p-values, or a list of such
matrices/arrays. dat must have a named time dimension.
sig_level
numeric value (default: 0.05), the level of significance
min_length
numeric value (default: 10), the minimum number of
consecutive significant time points
Value
An object of the same dimension as the input data
tdeenes/eegR documentation built on April 19, 2021, 4:17 p.m.
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Description Usage Arguments Value
Description
pvalueConsec sets a minimal consecutive length criterion on the
p-values in a time series
Usage
1 | pvalueConsec(dat, sig_level = 0.05, min_length = 10)
|
Arguments
dat |
a numeric matrix or array containing p-values, or a list of such matrices/arrays. dat must have a named time dimension. |
sig_level |
numeric value (default: 0.05), the level of significance |
min_length |
numeric value (default: 10), the minimum number of consecutive significant time points |
Value
An object of the same dimension as the input data
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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