mcaplot  R Documentation 
This function is intended as an alternative to plot.mjca
for plotting multiple correspondence analysis solutions.
It provides more flexibility for labeling factor levels and connecting
them with lines. It does not support some features of
plot.mjca
(centroids, supplementary points, arrows, etc.)
mcaplot(obj, map = "symmetric", dim = 1:2, col = c("blue", "red", "brown", "black", "green3", "purple"), pch = 15:20, cex = 1.2, pos = 3, lines = TRUE, lwd = 2, legend = FALSE, legend.pos = "topright", xlab = "_auto_", ylab = "_auto_", rev.axes = c(FALSE, FALSE), ...)
obj 
An 
map 
Character string specifying the map type, i.e., the scaling applied to coordinates
for different types of MCA representations.
Allowed options include:

dim 
Dimensions to plot, an integer vector of length 2 
col 
Vector of colors, one for each factor in the MCA 
pch 
Vector of point symbols for the category levels, one for each factor 
cex 
Character size for points and level labels 
pos 
Position of level labels relative to the category points; either a single number or a vector of length equal to the number of category points. 
lines 
A logical or an integer vector indicating which factors are to be
joined with lines using 
lwd 
Line width(s) for the lines 
legend 
Logical; draw a legend for the factor names? 
legend.pos 
Position of the legend in the plot, as in 
xlab,ylab 
Labels for horizontal and vertical axes.
The default, 
rev.axes 
A logical vector of length 2, where TRUE reverses the direction of the corresponding axis 
... 
Arguments passed down to 
Returns the coordinates of the category points invisibly
Michael Friendly
mjca
,
plot.mjca
cacoord
returns CA and MCA coordinates,
multilines
draw multiple lines according to a factor,
require(ca) data(Titanic) titanic.mca < mjca(Titanic) mcaplot(titanic.mca, legend=TRUE, legend.pos="topleft") data(HairEyeColor) haireye.mca < mjca(HairEyeColor) mcaplot(haireye.mca, legend=TRUE, cex.lab=1.3)
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