MSE: Mean squared error
In David-Hervas/repmod: Create Report Table from Different Objects
MSE R Documentation
Mean squared error
Description
Estimates mean squared error from predicted and observed values
Usage
MSE(pred, obs)
Arguments
pred
Numeric vector of predicted values
obs
Numeric vector of observed values
Value
Returns the MSE
Examples
lm1 <- lm(Petal.Length ~ Sepal.Width + Species, data=iris)
pred1 <- fitted(lm1)
MSE(pred1, iris$Petal.Length)
David-Hervas/repmod documentation built on Feb. 3, 2025, 11:38 a.m.
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| MSE | R Documentation |
Mean squared error
Description
Estimates mean squared error from predicted and observed values
Usage
MSE(pred, obs)
Arguments
pred |
Numeric vector of predicted values |
obs |
Numeric vector of observed values |
Value
Returns the MSE
Examples
lm1 <- lm(Petal.Length ~ Sepal.Width + Species, data=iris)
pred1 <- fitted(lm1)
MSE(pred1, iris$Petal.Length)
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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