Qsquared.ext: Squared-Q of the Test Set
In MLRMPA: A package for Multilinear Regression Model Population Analysis
Description
Usage
Arguments
Details
Value
References
See Also
Description
Validation the model through test set by the external squared-Q
Usage
1
Qsquared.ext(y.pre, y, ytr)
Arguments
y.pre
calculated response values of test set
y
observed values of test set, a 1*(n-m) dataframe (n-m is the sample number of test set)
ytr
the response variable of the training set, a 1*m dataframe
Details
The value of squared Q should be greater than or eaqual than 0.5.
Value
Qsquared.ext
It is a numeric value and it should be greater than 0.5 in a
successful QSAR model.
References
A. Tropsha, P. Gramatica, V. K. Gombar, QSAR Comb. Sci. 2003, 22, 69-77
See Also
MLRMPA documentation built on May 29, 2017, 10:17 a.m.
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Description Usage Arguments Details Value References See Also
Description
Validation the model through test set by the external squared-Q
Usage
1 | Qsquared.ext(y.pre, y, ytr)
|
Arguments
y.pre |
calculated response values of test set |
y |
observed values of test set, a 1*(n-m) dataframe (n-m is the sample number of test set) |
ytr |
the response variable of the training set, a 1*m dataframe |
Details
The value of squared Q should be greater than or eaqual than 0.5.
Value
Qsquared.ext |
It is a numeric value and it should be greater than 0.5 in a successful QSAR model. |
References
A. Tropsha, P. Gramatica, V. K. Gombar, QSAR Comb. Sci. 2003, 22, 69-77
See Also
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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