ca.aver.rule: Average Rule
In trinker/CAinterprTools: Package for graphical aid in Correspondence Analysis interpretation and significance testing
Description
Usage
Arguments
Examples
Description
This function allows you to locate the number of dimensions which are important for CA interpretation, according to the so-called average rule. The reference line showing up in the returned histogram indicates the threshold of an optimal dimensionality of the solution according to the average rule.
Usage
1
2
## S3 method for class 'aver.rule'
ca(data)
Arguments
data
Name of the dataset.
Examples
1
trinker/CAinterprTools documentation built on May 31, 2019, 7:54 p.m.
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Description Usage Arguments Examples
Description
This function allows you to locate the number of dimensions which are important for CA interpretation, according to the so-called average rule. The reference line showing up in the returned histogram indicates the threshold of an optimal dimensionality of the solution according to the average rule.
Usage
1 2 | ## S3 method for class 'aver.rule'
ca(data)
|
Arguments
data |
Name of the dataset. |
Examples
1 |
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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