LOC: Line of Correlation

Description Usage Arguments Details Value Author(s) Examples

Description

Functions to derive an age model from the composite sequence.

Usage

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printLOC(CONOP, events = "observed")
composite.age(CONOP, agemodels, tie.points, age.span, pch, bg)
LOC.tiepoints(CONOP, saveLOC = FALSE)

Arguments

CONOP

An object of class CONOP, typically the output of function read.CONOP.

events

A character string. Can be observed, in which case the events are plotted at the depth (or height) they have been observed, or placed, in which case they are plotted at their optimal depth (or height).

agemodels

A list of known age models with one element for each site (in the order defined in sectfile). Each element is a Two-column matrix: first column is the age value (in Ma) and the second column is the depth (in mbsf). The user can provide existing age models for any number of sites that he want (max is the number of site included in sectfile). Sites that are included in sectfile but for which no age models is given needs to be NA. E. g. two sites are present in sectfile, the first site is not provided with an age models but the second site have two tie points (10mbsf -> 1Ma and 50mbsf ->3Ma), agemodels should therefore be as follow: [[1]]NA [[2]][,1]10 50 [,2]1 3

tie.points

Output from function LOC.tiepoints

age.span

Vector of two age values (oldest, youngest) that limit the plots.

pch

See par.

bg

See par.

saveLOC

If TRUE, plots and LOC are saved in the working directory.

Details

Value

The output of LOC.tiepoints is a list where each element corresponds to a site (the index is the same as in sectfile). In each element, an age-depth matrix is stored. The output of codecomposite.age is an object of class CONOP similar to the input with numerical age value instead of composite depth.

Author(s)

Johan Renaudie.

Examples

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	data(riley)
	printLOC(riley, events="placed")

plannapus/CONOP9companion documentation built on March 18, 2021, 9:39 a.m.