mmdplot {fsdaR}

Plots the trajectory of minimum Mahalanobis distance (mmd)

Description

Plots the trajectory of minimum Mahalanobis distance (mmd)

Usage

mmdplot(
  out,
  quant = c(0.01, 0.5, 0.99),
  mplus1 = FALSE,
  envm,
  lwd,
  lwdenv,
  xlim,
  ylim,
  tag,
  datatooltip,
  label,
  xlab,
  ylab,
  main,
  nameX,
  cex.lab,
  cex.axis,
  databrush,
  trace = FALSE,
  ...
)

Arguments

out

An object of S3 class fsmeda.object returned by fsmult with monitoring=TRUE - a list containing the monitoring of minimum Mahalanobis distance

quant

Quantiles for which envelopes have to be computed. The default is to produce 1%, 50% and 99% envelopes. In other words the default is quant=c(0.01, 0.5, 0.99).

mplus1

Wheather to plot the (m+1)-th order statistic.

envm

Sample size for drawing enevlopes. Specifies the size of the sample which is used to superimpose the envelope. The default is to add an envelope based on all the observations (size n envelope).

lwd

Controls the line width of the curve which contains the monitoring of minimum deletion residual.

lwdenv

Controls the width of the lines associated with the envelopes. Default is lwdenv=1

xlim

Control the x scale in plot. Vector with two elements controlling minimum and maximum on the x axis. Default is to use automatic scale.

ylim

Control the y scale in plot. Vector with two elements controlling minimum and maximum on the y axis. Default is to use automatic scale.

tag

Plot handle. String which identifies the handle of the plot which is about to be created. The default is tag='pl_mmd'. Notice that if the program finds a plot which has a tag equal to the one specified by the user, then the output of the new plot overwrites the existing one in the same window else a new window is created.

datatooltip

If datatooltip is not empty the user can use the mouse in order to have information about the unit selected, the step in which the unit enters the search and the associated label. If datatooltip is a list, it is possible to control the aspect of the data cursor (see MATLAB function datacursormode() for more details or see the examples below). The default options are DisplayStyle="Window" and SnapToDataVertex="on".

label

Row labels. Character vector containing the labels of the units (optional argument used when datatooltip=TRUE. If this field is not present labels row1, ..., rown will be automatically created and included in the pop up datatooltip window).

xlab

A title for the x axis

ylab

A title for the y axis

main

An overall title for the plot

nameX

Add variable labels in the plot. A vector of strings of length p containing the labels of the variables of the original data matrix X. If it is empty (default) the sequence X1, ..., Xp will be created automatically

cex.lab

The magnification to be used for x and y labels relative to the current setting of cex

cex.axis

The magnification to be used for axis annotation relative to the current setting of cex

databrush

Interactive mouse brushing. If databrush is missing or empty (default), no brushing is done. The activation of this option (databrush is TRUE or a list) enables the user to select a set of trajectories in the current plot and to see them highlighted in the scatterplot matrix. If the scatterplot matrix does not exist it is automatically created. In addition, brushed units can be highlighted in the monitoring MD plot. Note that the window style of the other figures is set equal to that which contains the monitoring residual plot. In other words, if the monitoring residual plot is docked all the other figures will be docked too.

If databrush=TRUE the default selection tool is a rectangular brush and it is possible to brush only once (that is persist=”).

Note that the window style of the other figures is set equal to that which contains the monitoring residual plot. In other words, if the monitoring residual plot is docked all the other figures will be docked too

If databrush=TRUE the default selection tool is a rectangular brush and it is possible to brush only once (that is persist=”).

If databrush=list(...), it is possible to use all optional arguments of the MATLAB function selectdataFS() and the following optional arguments:

• persist: This option can be an empty value or a character containing 'on' or 'off'. The default value is persist="", that is brushing is allowed only once. If persist="on" or persis="off" brushing can be done as many time as the user requires. If persist='on' then the unit(s) currently brushed are added to those previously brushed. It is possible, every time a new brushing is done, to use a different color for the brushed units. If persist='off' every time a new brush is performed units previously brushed are removed.

• labeladd: add labels of brushed units in the scatterplot matrix. If this option is '1', we label the units of the last selected group with the unit row index in the matrix X. The default value is labeladd=”, i.e. no label is added.

trace

Whether to print intermediate results. Default is trace=FALSE.

...

potential further arguments passed to lower level functions.

Value

none

Author(s)

FSDA team, [e-mail]

References

Atkinson and Riani (2000), Robust Diagnostic Regression Analysis, Springer Verlag, New York.

Examples

 ## Not run: 
 data(hbk, package="robustbase")
 (out <- fsmult(hbk[,1:3], monitoring=TRUE))
 mmdplot(out)
 
## End(Not run)