summary: Summary outputs of decomposed time series.

In msltrend: Improved Techniques to Estimate Trend, Velocity and Acceleration from Sea Level Records

Description

Summary outputs of decomposed time series.

Usage

summary(object)

Arguments

object

of class “msl.trend” (see msl.trend) or “msl.forecast” (see msl.forecast).

Details

This routine provides a screen summary of the respective outputs from a msl.trend or msl.forecast object. The summary produced is identical to str( ) for an object of class “msl.trend” (see msl.trend) or “msl.forecast” (see msl.forecast).

See Also

msl.trend, msl.forecast, Balt, s, t.

Examples

# -------------------------------------------------------------------------
# Isolate trend from Baltimore record, filling gaps with spline interpolation,
# 500 iterations and adding 1000 mm of slr to 2100. Use raw 'Balt.csv' data file.
# Note: ordinarily user would call 'File.csv' direct from working directory
# using the following sample code:
# s <- msl.trend('Balt.csv', fillgaps = 3, iter = 500, 'BALTIMORE, USA')
# t <- msl.forecast(s, slr = 1000)
# -------------------------------------------------------------------------

data(s) # msl.trend object from above-mentioned example
data(t) # msl.forecast object from above-mentioned example
summary(s) # summary for object of class 'msl.trend' object
summary(t) # summary for object of class 'msl.forecast' object

msltrend documentation built on May 2, 2019, 5:41 a.m.