bar plot colors

I have a question regarding colors in bar plots.  I want to stack a
total of 18 cost values in each bar. Basically, it is six cost types and
each cost type has three components- direct, indirect, and induced
costs.  I would like to use both solid color bars and bars with the
slanted lines (using the density parameter).  The colors would
distinguish cost types and the lines would distinguish
direct/indirect/induced.  I want the cost types (i.e. colors) to be
stacked together for each cost type.  In other words, I don't want all
of the solid bars at the bottom and all of the slanted lines at the top.

All,

 

I have a question regarding colors in bar plots.  I want to stack a
total of 18 cost values in each bar. Basically, it is six cost types and
each cost type has three components- direct, indirect, and induced
costs.  I would like to use both solid color bars and bars with the
slanted lines (using the density parameter).  The colors would
distinguish cost types and the lines would distinguish
direct/indirect/induced.  I want the cost types (i.e. colors) to be
stacked together for each cost type.  In other words, I don't want all
of the solid bars at the bottom and all of the slanted lines at the top.


So far, I have made a bar plot with all solid colors and then tried to
overwrite that bar plot by calling barplot() again and putting the white
slanted lines across the bars.  However, I can't get this method to work
while still grouping the cost types together.

 

All,

 

I have a question regarding colors in bar plots.  I
want to stack a
total of 18 cost values in each bar. Basically, it
is six cost types and
each cost type has three components- direct,
indirect, and induced
costs.  I would like to use both solid color bars
and bars with the
slanted lines (using the density parameter).  The
colors would
distinguish cost types and the lines would
distinguish
direct/indirect/induced.  I want the cost types
(i.e. colors) to be
stacked together for each cost type.  In other
words, I don't want all
of the solid bars at the bottom and all of the
slanted lines at the top.


So far, I have made a bar plot with all solid colors
and then tried to
overwrite that bar plot by calling barplot() again
and putting the white
slanted lines across the bars.  However, I can't get
this method to work
while still grouping the cost types together.

 

Thanks in advance for any help you can provide.

 

David Winkel

Applied Biology and Aerosol Technology

Battelle Memorial Institute

505 King Ave.

Columbus, Ohio 43201

614.424.3513

 


	[[alternative HTML version deleted]]

I think you're going to find that barchart with that
many values in a bar is going to be pretty well
uninterpretable.  

Jim Lemon gives the desired barchart but it is very
difficult to read.  

Stealing his code to create the same matrix I'd
suggest may be looking at a dotchart.  I'm not sure if
this is even close to an optimal solution but I do
think it's a bit better than a barchart approach
======================================================
heights<-matrix(sample(10:70,54),ncol=3)
bar.colors<-rep(rep(2:7,each=3),3)
cost.types <- c("Direct", "Indirec", "Induced")
colnames(heights) <-  c("A", "B", "C")
rownames(heights) <- c(rep(cost.types, 6))

dotchart(heights, col=bar.colors, pch=16, cex=.6)

=======================================================

John Kane wrote:

I think you're going to find that barchart with

that

many values in a bar is going to be pretty well
uninterpretable.  

Jim Lemon gives the desired barchart but it is

very

difficult to read.  

Stealing his code to create the same matrix I'd
suggest may be looking at a dotchart.  I'm not

sure if

this is even close to an optimal solution but I do
think it's a bit better than a barchart approach

heights<-matrix(sample(10:70,54),ncol=3)
bar.colors<-rep(rep(2:7,each=3),3)
cost.types <- c("Direct", "Indirec", "Induced")
colnames(heights) <-  c("A", "B", "C")
rownames(heights) <- c(rep(cost.types, 6))

dotchart(heights, col=bar.colors, pch=16, cex=.6)

Very nice John, but it does look like someone
dropped the M&Ms.
Jim