simplemissingplot {compositions}

Ternary diagrams

Description

Displaying compositions in ternary diagrams

Usage

simpleMissingSubplot(loc, portions, labels=NULL,
          col=c("white","yellow","red","green","blue"), 
          ..., border="gray60", vertical=NULL, xpd=NA)

Arguments

loc

a vector of the form c(x1,x2,y1,y2) giving the drawing rectangle for the subplot in coordinates as in par("usr"). I.e. if the plot is logrithmic the base 10 logarithm is to be used:

x1

left boundary of drawing rectangle

y1

lower boundary of drawing rectangle

x2

right boundary of drawing rectangle

y2

upper boundary of drawing rectangle

portions

The portions of different missing categories

labels

The labels for the categories.

col

The colors to plot the different categories.

...

further graphical parameters passed to text

border

The color to draw the borders of the rectangles.

vertical

Should a horizontal or a vertical plot be produced. If NULL the choice is done automatically according to the size of the recangle provided.

xpd

extended plot region. See par("xpd").

Details

This function is typically not called directly,however it could in principle be used to add to plots. The user will modify the function call only to modify the appearance of the missing plot.

The labels are only plotted for nonzero portions. In this way it is always possible to realize the presence of a given missing type, even if it is a too small portion to be actually displayed. In case of overplotting of different labels a further investigation using missingSummary should be used.

Author(s)

K.Gerald v.d. Boogaart http://www.stat.boogaart.de

See Also

plot.aplus

Examples

data(SimulatedAmounts)
plot(acomp(sa.missings))
plot(acomp(sa.missings),mp=~simpleMissingSubplot(c(0,0.1,0.2,1),
   missingInfo[c(1,3:5,2)], 
   c("Not Missing",paste("Missing Only:",cn),"Totally Missing"),
   col=c("gray","red","green","blue","darkgray"))
)
ms <- missingSummary(sa.missings)
for( i in 1:3 )
  simpleMissingSubplot(c(0.9+0.03*(i-1),0.9+0.03*i,0.2,1), ms[i,])