plot.smw: Plot the dissimilarity profiles

In segRDA: Modeling Non-Continuous Linear Responses of Ecological Data

Description

Plot results from smw and dp objects. The command is a shortcut for extracting and plotting SMW resuts. Auxiliary arguments from extract (i.e. sig, z, BPs and seq.sig) can be passed to plot.smw. The auxilary method bgDP is available for the returned dp object when the argument bg is not NULL (see Details).

Usage

## S3 method for class 'smw'
plot(x, w = NULL, sig = "z", z = 1.85, BPs = "max",
  seq.sig = 3, w.effect = F, values = c("zscore", "diss"),
  pchs = c(16, 16, 17), cols = c("black", "red", "blue"), bg = NULL,
  bg_alpha = 0.1, wcols = "rainbow", legend = TRUE, ...)

## S3 method for class 'dp'
bgDP(dp)

Arguments

x	An object of class "smw" resulted from the function SMW.
w	The window size from which results will be plotted. Only effective if length(smw)>1.
sig	Significance test for detecting dissimilarity values that differs significantly from those appearing in a random pattern. If NULL the significance test is ommited from the plot.The following tests are considered with default to sig.test="z": 'z' consider normalized dissimilarity (z-scores) discontinuities that exceed a "z" critical value; 'sd' consider dissimilarity discontinuities that exceed mean plus one standard deviation; 'SD2' consider dissimilarity discontinuities that exceed mean plus two standard deviation; 'tail1' Consider dissimilarity discontinuities that exceed 95 percent confidence limits.
z	The critical value for the significance of z-values. Defaults to 'z=1.85' (Erdös et.al, 2014).
BPs	Defines if the breakpoints should be chosen as those sample positions corresponding to the maximum dissimilarity in a sequence of significant values ("max") or as those sample positions corresponding to the median position of the sequence ("median"). Defaults to BPs="max". If NULL the breakpoints are not computed.
seq.sig	The maximum length of consecutive, significant values of dissimilarity that will be considered in defining the community breakpoints. Defaults to seq.sig=3;
w.effect	Logical, if TRUE draws a dissimilarity profile using different windows sizes and returns an invisible data.frame with the breakpoint frequencies. Only effective if length(smw)>1. The function uses extract with defaults parameters to define the breakpoint positions for each of the evaluated window sizes.
values	Character. "zscore" for plotting z-scores, "diss" for plotting dissimilarity values.
pchs	A numerical vector of the form c(d,s,b) which modifies the default symbols of the plot. The default pch = c(16,16,17) describes respectively the dissimilarity values, significant dissimilarity values and breakpoints.
cols	Vector of length 3 specifying the colors of the plot in the same way as the pch argument. Defaults to colors=c("black","red","blue").
bg	Optional. Sets background colors according to the breakpoints. It can be expressed either by a vector of colors or by the name of a pallet function (e.g. "rainbow").
bg_alpha	Factor modifying the opacity alpha of the backgroud [0,1].
wcols	Sets the colors for the window sizes (lines) when w.effect=TRUE. It can be expressed by a vector of colors or by the name of a pallet function. Defaults to wcol="rainbow" which uses the colour palette rainbow from R stats.
legend	Logical. Should a default legend appear?
...	Further graphical parameters.
dp	An object of class dp.

Details

If bg is not NULL, the attribute params$bg is added to the returned dp. This attribute contains the sample colors used by the argument bg. The auxilary method bgDP can be used for accessing this color vector.

Value

The function returns invisibly an object of class "dp" (see Details).

Author(s)

Danilo Candido Vieira

See Also

SMW, extract.

Examples

data(sim1)
sim1o<-OrdData(sim1$envi,sim1$comm)


ws20<-SMW(yo=sim1o$yo,ws=20)
pool<-SMW(yo=sim1o$yo,ws=c(20,30,40))
plot(ws20)
plot(pool, w.effect=TRUE)

segRDA documentation built on July 31, 2019, 9:03 a.m.