Creates a scatter plot for each pair of variables in given data. Observations in different classes are represented by different colors and symbols.
clPairs(data, classification,
symbols = NULL, colors = NULL, cex = 1,
labels = dimnames(data)[[2]], cex.labels = 1.5,
gap = 0.2, grid = FALSE, …)clPairsLegend(x, y, class, col, pch, box = TRUE, …)
A numeric vector, matrix, or data frame of observations. Categorical variables are not allowed. If a matrix or data frame, rows correspond to observations and columns correspond to variables.
A numeric or character vector representing a classification of observations
(rows) of data
.
Either an integer or character vector assigning a plotting symbol to each
unique class in classification
. Elements in symbols
correspond to classes in order of appearance in the sequence of
observations (the order used by the function unique
).
The default is given by mclust.options("classPlotSymbols")
.
Either an integer or character vector assigning a color to each
unique class in classification
. Elements in colors
correspond to classes in order of appearance in the sequence of
observations (the order used by the function unique
).
The default is given by mclust.options("classPlotColors")
.
A numerical value specifying the size of the plotting symbols.
A vector of character strings for labelling the variables. The default
is to use the column dimension names of data
.
A numerical value specifying the size of the text labels.
An argument specifying the distance between subplots (see pairs
).
A logical specifying if grid lines should be added to panels (see grid
).
The x and y co-ordinates with respect to a graphic device having
plotting region coordinates par("usr" = c(0,1,0,1))
.
The class labels.
A logical, if TRUE
then a box is drawn around the current plot figure.
The colors and plotting symbols appearing in the legend.
The function clPairs()
invisibly returns a list with the following components:
A character vector of class labels.
A vector of colors used for each class.
A vector of plotting symbols used for each class.
The function clPairs()
draws scatter plots on the current graphics device for each combination of variables in data
. Observations of different classifications are labeled with different symbols.
The function clPairsLegend()
can be used to add a legend. See examples below.
# NOT RUN {
clPairs(iris[,1:4], cl = iris$Species)
clp <- clPairs(iris[,1:4], cl = iris$Species, lower.panel = NULL)
clPairsLegend(0.1, 0.4, class = clp$class,
col = clp$col, pch = clp$pch,
title = "Iris data")
# }
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