s: sample 'msl.trend' object

In TrendSLR: Estimating Trend, Velocity and Acceleration from Sea Level Records

Description

Output of call to msl.trend used in examples throughout this Manual.

Usage

data(s)

Format

msl.trend object

Details

This msl.trend object is used extensively in the examples throughout this manual in order to call the object direct rather than producing the same via original code which can be computationally expensive. This object results from a decomposition of the Baltimore (USA) record, filling gaps with spline interpolation and using 500 iterations to generate error margins via bootstrapping.

Note: Ordinarily the user would first create an annaul average time series object from the data, to then create an msl.trend object using the general form of sample code advised in the example (see below).

See Also

msl.trend, msl.fileplot, msl.screenplot, summary, Balt.

Examples

data(Balt) # Baltimore mean sea level record
ts1 <- ts(Balt[2], start = Balt[1, 1]) # create time series input object
s <- msl.trend(ts1, fillgaps = 3, iter = 500, 'BALTIMORE, USA')

data(s)
str(s) # check structure of object
msl.screenplot(s) # check screen output

TrendSLR documentation built on Aug. 7, 2019, 9:03 a.m.