loss.matrix.image: Draws loss matrix image

In barryrowlingson/opVaR: Computes operational risk

Description

Function drawning table of losses for a given loss matrix, risk categories and business lines.

Usage

loss.matrix.image(D, businesslines, riskcategories, data = NULL,
	col1 = c("lavender"), col2 = c("rosybrown 1"),
	col3 = c("lightpink"), col4 = c("mistyrose"), col5 = c("mintcream"),
	cex1 = 0.6, cex2 = 0.6, cex3 = 0.6)

Arguments

D	matrix of losses, it should be of loss.matrix value type
businesslines	vector of business lines names
riskcategories	vector of risk categories names
data	object of loss.data.object type; it can be used instead of three previous arguments
col1	colour of rectangles with no data
col2	colour for rectangles with mean loss more than or equal to mean loss for D and less than mean loss for D + standard deviation of mean loss for D
col3	colour for rectangles with mean loss more than or equal to mean loss for D + standard deviation of mean loss for D
col4	colour for rectangles with mean loss more than 0 and less than mean loss for D
col5	legend colour
cex1	the final character size of names of risk categories and business lines
cex2	the final character size of number of losses, mean loss and maximum loss
cex3	the final character size of legend letters

See Also

loss.matrix, loss.data.object, read.loss

Examples

data(loss.data.object)
D <- loss.matrix(loss.data.object)

# first example:

loss.matrix.image(D,loss.data.object$blines,loss.data.object$rcateg)

# second example:

loss.matrix.image(D,loss.data.object$blines,loss.data.object$rcateg,col1="ghostwhite") # one colour is changed

# third example:

 # not every business and risk line is chosen
loss.matrix.image(D[c(2,8),,c(1,3,5)],loss.data.object$blines[c(2,8)],loss.data.object$rcateg[c(1,3,5)])

barryrowlingson/opVaR documentation built on May 11, 2019, 7:24 p.m.