trend: Estimate trend component
In itsmr: Time Series Analysis Using the Innovations Algorithm
trend R Documentation
Estimate trend component
Description
Estimate trend component
Usage
trend(x, p)
Arguments
x
Time series data
p
Polynomial order (1 linear, 2 quadratic, etc.)
Value
Returns a vector the same length as x.
Subtract from x to obtain residuals.
The returned vector is the least squares fit of a polynomial to the data.
See Also
season
Examples
y = trend(uspop,2)
plotc(uspop,y)
itsmr documentation built on Aug. 6, 2022, 9:08 a.m.
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| trend | R Documentation |
Estimate trend component
Description
Estimate trend component
Usage
trend(x, p)
Arguments
x |
Time series data |
p |
Polynomial order (1 linear, 2 quadratic, etc.) |
Value
Returns a vector the same length as x.
Subtract from x to obtain residuals.
The returned vector is the least squares fit of a polynomial to the data.
See Also
season
Examples
y = trend(uspop,2) plotc(uspop,y)
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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