cvq2.sample.A: Small data set to demonstrate the difference between the...

In cvq2: Calculate the predictive squared correlation coefficient

Description

Contains a small data set with four observations, the observation y depends on two parameters (x_1, x_2).

Usage

data(cvq2.sample.A)

Format

A data frame with four observations. Each row contains two parameters and the observed value.

x1

parameter 1

x2

parameter 2

y

observation

Details

This data set can be used to demonstrate the differences between the model calibration and the prediction power. The prediction power can be determined either with cross-validation or the application of the model to the data set cvq2.sample.A_pred.

Note

This data set contains one outlier (row #2). If the prediction power is determined with cross-validation, this outlier leads to a considerably decreased prediction power, q^2_cv, in comparison to the model calibration, r^2. For this data set, one can perform a Leave-One-Out cross-validation only.

Source

Generic data set, created for this purpose only.

See Also

cvq2, q2

cvq2 documentation built on May 2, 2019, 8:29 a.m.