plot.mfso {fso} | R Documentation |
A set of routines for plotting, identifying, or highlighting points in a multidimensional fuzzy set ordination (MFSO).
## S3 method for class 'mfso': plot(x, dis=NULL, pch=1, ...) ## S3 method for class 'mfso': points(x, overlay, col=2, pch=1, ...) ## S3 method for class 'mfso': plotid(x, dis=NULL, labels=NULL, ...) ## S3 method for class 'mfso': hilight(x, overlay, cols = c(2, 3, 4, 5, 6, 7), symbol = c(1, 3, 5), origpch = 1, blank = "#FFFFFF", ...) ## S3 method for class 'mfso': chullord(x, overlay, cols = c(2, 3, 4, 5, 6, 7), ltys = c(1, 2, 3), ...) ## S3 method for class 'mfso': boxplot(x, ...)
x |
an object of class ‘mfso’ |
dis |
an object of class ‘dist’ from dist ,
dsvdis , or
vegdist |
overlay |
a logical vector of the same length as the number of points in the plot |
labels |
a vector of labels to print next to the identified points |
symbol |
an integer or vector of integers to control which symbols
are printed in which order on the plot by specifying values to
pch |
origpch |
a switch to explain to hilight what symbol was used in the original plot to be blanked out |
blank |
a color specification to control blanking out of symbols to match the background color |
ltys |
an integer or vector of integers to control the line styles of convex hull polygons |
pch |
the symbol to plot |
col |
the color to use for plotted symbols |
cols |
an integer vector for color order |
... |
arguments to pass to function points |
Multidimensional fuzzy set ordinations (MFSO) are almost inherently graphical, and routines to facilitate plotting and overlaying are essential to work effectively with them.
A multidimensional fuzzy set ordination object (an object of class
‘mfso’) generally contains at least two axes, and may contain many more.
The plot
routine plots all possible axis pairs in order. If a
‘dist’ object is passed with the ‘dis=’ argument, the final panel
is a plot of the dissimilarity or distance matrix values on the X axis and the
pair-wise ordination distances on the Y axis with the correlation coefficient in
the upper left hand corner.
The ‘points’ function can be used to highlight or identify specific points in the plot. The ‘points’ function requires a logical vector (TRUE/FALSE) of the same length as the number of points in the plot. The default behavior is to color the points with a respective TRUE value red. It is possible to control the color (with col=), size (with cex=) and symbol (with pch=) of the points.
The ‘plotid’ function can be used to label or identify specific points with the mouse. Clicking the left mouse button adjacent to a point causes the point to be labeled, offset in the direction of the click relative to the point. Clicking the right mouse button exits the routine. The default (labels=NULL) is to label points with the row number in the data.frame (or position in the vector) for the point. Alternatively, specifying a vector of labels (labels=) prints the respective labels. If the data were derived from a data.frame, the row.names of the data.frame are often a good choice, but the labels can also be used with a factor vector to identify the distribution of values of a factor in the ordination (but see hilight as well).
The ‘hilight’ function identifies the factor values of points in the ordination, using color and symbols to identify unique values (up to 18 values by default). The colors and symbols used can be specified by the ‘col=’ and ‘symbol=’ arguments, which should both be integers or integer vectors. The default of colors 2, 3, 4, 5, 6, 7 and symbols 1, 3, 5 shows well in most cases, but on colored backgrounds you may need to adjust ‘col=’. If you have a factor with more than 18 classes you will need to augment the ‘symbol=’ vector with more values.
The ‘chullord’ function plots convex hulls around all points sharing the
same value for a factor variable, and colors all points of that value to match.
The convention on colors follows
hilight
.
The ‘boxplot’ function plots boxplots of the $μ$ membership values in the MFSO.
none
The plotting and highlighting routines for mfso are designed to match the
same routines for other ordinations in package labdsv
.
David W. Roberts droberts@montana.edu http://ecology.msu.montana.edu/R/labdsv/lab11/lab11.html
plot.pco
, points.pco
,
hilight.pco
,chullord.pco
require(labdsv) # to obtain access to data sets and dissimilarity function data(bryceveg) # vegetation data data(brycesite) # environmental data dis.bc <- dsvdis(bryceveg,'bray/curtis') # produce \sQuote{dist} object demo.mfso <- mfso(~elev+slope+av,dis.bc,data=brycesite) plot(demo.mfso) ## Not run: hilight(demo.mfso,brycesite$quad) # requires interaction