t {TrendSLR}R Documentation

sample 'custom.trend' object

Description

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

Usage

data(t)

Format

custom.trend object

Details

This custom.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 firstly with the default SSA option in the gap.fillview function. The gap.fillview object has then been used to otimise the trend and DOF settings via the check.decomp function. The custom.trend function is then applied with the desired settings.

Note: The above-mentioned workflow is used to create the custom.trend object using the general form of sample code advised in the example (see below).

See Also

custom.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
g <- gap.fillview(ts1, station_name = "Baltimore", fillgaps = 1) # SSA gap fill
t <- custom.trend(g, station_name = "Baltimore (USA)", iter = 500, trend = c(1,2),
vlm = 0.6)

data(t)
str(t) # check structure of object

[Package TrendSLR version 1.0 Index]