broken_stick: Returns Eigenvalues expected by random data
In ailich/mytools: Stuff
broken_stick R Documentation
Returns Eigenvalues expected by random data
Description
Returns Eigenvalues expected by random data for each component as determined by a broken-stick distribution. Useful for determining the number of interpretable Principal Components. When actual eigenvalues fall below this curve they are no longer considered interpretable.
Usage
broken_stick(n_variables)
Arguments
n_variables
number of variables
ailich/mytools documentation built on Jan. 7, 2023, 11:16 a.m.
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| broken_stick | R Documentation |
Returns Eigenvalues expected by random data
Description
Returns Eigenvalues expected by random data for each component as determined by a broken-stick distribution. Useful for determining the number of interpretable Principal Components. When actual eigenvalues fall below this curve they are no longer considered interpretable.
Usage
broken_stick(n_variables)
Arguments
n_variables |
number of variables |
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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