A function to calculate the apparent error rate of two classification
vectors, i.e., the proportion of observed cases incorrectly predicted.
It can be useful for evaluating discriminant analysis or other classification systems.
$$aer = \frac{1}{n} \sum_{i=1}^{n} I(y_i \neq \hat{y}_i)$$

Tools designed to perform and evaluate cluster analysis (including Tocher's algorithm),
discriminant analysis and path analysis (standard and under collinearity), as well as some
useful miscellaneous tools for dealing with sample size and optimum plot size calculations.
A test for seed sample heterogeneity is now available. Mantel's permutation test can be found in this package.
A new approach for calculating its power is implemented. biotools also contains tests for genetic covariance components.
Heuristic approaches for performing non-parametric spatial predictions of generic response variables and
spatial gene diversity are implemented.

Anderson da Silva

biotools

Tools for Biometry and Applied Statistics in Agricultural
Science

aer function

<dl> <dt>obs</dt>
<dd>a vector containing the observed classes.</dd> <dt>predict</dt>
<dd>a vector with the same length of <code>obs</code> containing the predicted classes.</dd></dl>

Arguments

Anderson Rodrigo da Silva &lt;anderson.agro@hotmail.com&gt;

Author

Apparent Error Rate — aer

<dl>

 <dt>obs</dt>
<dd>a vector containing the observed classes.</dd>

 <dt>predict</dt>
<dd>a vector with the same length of <code>obs</code> containing the predicted classes.</dd>

</dl>

aer: Apparent Error Rate

Description

Usage

Value

Arguments

Author

See Also

Examples