testLoess: Significance Test for Loess vs. LM
In davidaarmstrong/damisc: Dave Armstrong's Miscellaneous Functions
testLoess R Documentation
Significance Test for Loess vs. LM
Description
Calculates an F test to evaluate significant differences between a LOESS
model and a parametric alternative estimated with lm
Usage
testLoess(lmobj, loessobj, alpha = 0.05)
Arguments
lmobj
An object of class lm.
loessobj
An object of class loess.
alpha
Desired Type I error rate of test.
Value
Printed output describing the results of the test.
Author(s)
Dave Armstrong
Examples
data(Prestige, package="carData")
linmod <- lm(prestige ~ income, data=Prestige)
lomod <- loess(prestige ~ income, data=Prestige)
testLoess(linmod, lomod)
davidaarmstrong/damisc documentation built on Oct. 1, 2023, 3:05 p.m.
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| testLoess | R Documentation |
Significance Test for Loess vs. LM
Description
Calculates an F test to evaluate significant differences between a LOESS
model and a parametric alternative estimated with lm
Usage
testLoess(lmobj, loessobj, alpha = 0.05)
Arguments
lmobj |
An object of class |
loessobj |
An object of class |
alpha |
Desired Type I error rate of test. |
Value
Printed output describing the results of the test.
Author(s)
Dave Armstrong
Examples
data(Prestige, package="carData")
linmod <- lm(prestige ~ income, data=Prestige)
lomod <- loess(prestige ~ income, data=Prestige)
testLoess(linmod, lomod)
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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