analogue (version 0.17-7)

plot.dissimilarities: Plots the distribution of extracted dissimilarities

Description

Produces a plot of the distribution of the extracted dissimilarities and a reference normal distribution with comparable mean and sd.

Usage

# S3 method for dissimilarities
plot(x, prob = 0.05,
     legend = TRUE, n.rnorm = 1e+05, col = "black",
     col.ref = "red", lty = "solid", lty.quant = "dotted",
     xlab = NULL, ylab = NULL, main = NULL, sub = NULL, ...)

Value

A plot on the currently active device.

Arguments

x

an object of class "dissimilarities".

prob

numeric; density probability defining the threshold for close modern analogues.

legend

logical; draw a legend on the plotted figure?

n.rnorm

numeric; number of random normal deviates for reference line.

col, col.ref

colours for the dissimilarity and reference density functions drawn.

lty, lty.quant

line types for the dissimilarity and reference density functions drawn.

xlab, ylab

character; x- and y-axis labels.

main, sub

character; main and subtitle for the plot.

...

graphical arguments passed to other graphics functions.

Author

Gavin L. Simpson

See Also

dissimilarities

Examples

## Imbrie and Kipp example
## load the example data
data(ImbrieKipp)
data(SumSST)
data(V12.122)

## merge training and test set on columns
dat <- join(ImbrieKipp, V12.122, verbose = TRUE)

## extract the merged data sets and convert to proportions
ImbrieKipp <- dat[[1]] / 100
V12.122 <- dat[[2]] / 100

## analog matching between SWAPImbrie & Kipp and V12.122 core
ik.analog <- analog(ImbrieKipp, V12.122, method = "chord")
ik.analog
summary(ik.analog)

## compare training set dissimilarities with normals
## and derive cut-offs
ik.dij <- dissim(ik.analog)
plot(ik.dij)