PairViz (version 1.3.6)

table_plot: Plots rectangles on a grid

Description

Plots rectangles on a grid- a barchart/mosaic variant which facilitates pairwise comparisons.

Usage

table_plot(rectw, recth, col="grey50", gapx = NULL, gapy = NULL, 
spacex = 0.03, spacey = 0.03, xjust = "center", yjust = "center", 
xruler = NULL, yruler = NULL, color.ruler = "grey32",
pch0=1,xlab=NULL,ylab=NULL, plot=TRUE,...)

Arguments

rectw

An n*m matrix of rectangle widths, or a vector of m column widths.

recth

An n*m matrix of rectangle heights, or a vector of n row heights.

col

Rectangle fill colours.

gapx

Gaps in the x-direction. If provided should be a vector of length m-1.

gapy

Gaps in the x-direction. If provided should be a vector of length n-1.

spacex

A single value- extra space between columns as a fraction of maximum row total of rectw .

spacey

A single value- extra space between rows as a fraction of maximum column total of recth .

xjust

Horizontal justification of rectangles- "center", "left", or "right".

yjust

Vertical justification of rectangles- "center", "bottom", or "top".

xruler

Specifies position of rulers drawn parallel to x-axis. Values are a subset of ("top","center","bottom")

yruler

Specifies position of rulers drawn parallel to y-axis. Values are a subset of ("left","center","right")

color.ruler

Color for the rulers.

pch0

Symbol for zero cell size. May be NULL.

xlab

X label

ylab

Y label

plot

If TRUE, draw tge plot. Otherwise returns a matrix where each row is the coordinates of a the calculated rectangle.

...

Passed to plot.

Author

Catherine Hurley

References

See overview

See Also

See also barplot, mosaicplot

Examples

if (FALSE) {
require(PairViz) 	
		
tab <- apply(HairEyeColor, c(1, 2), sum)


dev.new()
par(mar=c(3,3,1,1))
par(cex=.6,mgp=c(2, -.5, 0))
table_plot(sqrt(tab),sqrt(tab))
# this table plot has cells with widths and heights proportional to the square root of cell counts.

tabp <- prop.table(tab,2)

table_plot(apply(tab,2,sum),tabp) # make cell widths proportional to 
#margin totals, heights to conditional prob

cols <- 2:5
table_plot(apply(tab,2,sum),tabp, yjust="bottom",col=cols,yruler=c("left","right")) 
# add colours, rulers and  bottom-justify

# The result is similar to the mosaic, without the mosaic effect of equalizing gaps. 
#In the table version the rectangles line up across rows, 
#so comparing heights, ie. conditional probs is easier.

o <- hpaths(1:4)[2,]
table_plot(apply(tab,2,sum)[o],tabp[,o], yjust="bottom",col=cols,yruler=c("left","right"))
# Permutes the columns so all pairs of columns can be compared. 
#In the second permutation can easily see that   
#p(black|blue eyes)> p(black|green eyes)


dev.new()
par(mar=c(3,3,1,1))
par(mgp=c(2, -.5, 0))
mosaicplot(t(tab)[,nrow(tab):1],col=rev(cols),main="")
# mosaic- good for seeing deviations from independence. hard to compare conditional probs,
# except for those in the bottom and top rows. 
}