USL-class: Class "'USL'" for Universal Scalability Law models
In usl: Analyze System Scalability with the Universal Scalability Law
USL-class R Documentation
Class "USL" for Universal Scalability Law models
Description
This class encapsulates the Universal Scalability Law. Use the function
usl to create new objects from this class.
Slots
frameThe model frame.
callThe call used to create the model.
regrThe name of the regressor variable.
respThe name of the response variable.
coefficientsThe coefficients alpha, beta and gamma of the model.
coef.std.errThe standard errors for the coefficients alpha and beta.
coef.namesA vector with the names of the coefficients.
fittedThe fitted values of the model. This is a vector.
residualsThe residuals of the model. This is a vector.
df.residualThe degrees of freedom of the model.
sigmaThe residual standard deviation of the model.
limitThe scalability limit as per Amdahl.
peakA vector with the predictor and response values of the peak.
optimalA vector with the optimal predictor and response values.
efficiencyThe efficiency, e.g. speedup per processor.
na.actionThe na.action used by the model.
See Also
usl
usl documentation built on Aug. 29, 2022, 1:06 a.m.
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| USL-class | R Documentation |
Class "USL" for Universal Scalability Law models
Description
This class encapsulates the Universal Scalability Law. Use the function
usl to create new objects from this class.
Slots
frameThe model frame.
callThe call used to create the model.
regrThe name of the regressor variable.
respThe name of the response variable.
coefficientsThe coefficients alpha, beta and gamma of the model.
coef.std.errThe standard errors for the coefficients alpha and beta.
coef.namesA vector with the names of the coefficients.
fittedThe fitted values of the model. This is a vector.
residualsThe residuals of the model. This is a vector.
df.residualThe degrees of freedom of the model.
sigmaThe residual standard deviation of the model.
limitThe scalability limit as per Amdahl.
peakA vector with the predictor and response values of the peak.
optimalA vector with the optimal predictor and response values.
efficiencyThe efficiency, e.g. speedup per processor.
na.actionThe
na.actionused by the model.
See Also
usl
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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