Plot ratios as correlation matrix in R

Question

This question is similar to me as this SO post.

Sample data for the ratios:

n=50
ratio1 <- seq(0,1.5,(1.5-0)/(n-1))
ratio2 <- seq(0,2.5,(2.5-0)/(n-1))
ratio3 <- seq(0.5,4.5,(4.5-0.5)/(n-1))
ratio4 <- seq(1,3,(3-1)/(n-1))
ratio5 <- seq(0.7,2,(2-0.7)/(n-1))

To name the ratios:

rname <- c("a/b","c/d","e/f","g/h","i/j") 

so the y-axis labels are c(a,c,e,g,i) and x-axis c(b,d,f,h,j)

Now, let's say the current measured values are:

measure.r <- data.frame(c(0.7,1.5,3.3,2.5,1.5))
colnames(measure.r) <- C("r1","r2","r3","r4","r5")

Now, I would like to plot the measured value within each domain (ratio1, ratio2...etc.) as the referenced SO post about plotting correlation matrix.

So I would like to express the current measured value position within the interval in a color (from green to red, where red means the the upper limit has been reached)

I would like to have the 5 ratios plotted as the correlation matrix referenced here. Where each square would represent state of the measured value (via its color).

I have tried to combine the boxplot bwplot and the lattice levelplot but unsuccessfully.

Hope the above makes sense. Please post any question you may have regarding the description above.

Answer 1

It's pretty hard to tell what you want to do here, but this could get you started

# some fake data
n <- 5
x <- y <- seq_len(n)
z <- outer(x, y, "/")*rnorm(n) # create a matrix of values

# color palette function
pal <- colorRampPalette(c("green", "red"))

# setup plotting regions
layout(matrix(1:2), heights=c(0.7,0.3))

# make an image of the matrix
# ("n" turns off the axis labeling)
image(x, y, z, xaxt="n", yaxt="n", col=pal(11), asp=1, pty="s")
axis(1, x, letters[1:5])
axis(2, y, letters[6:10])

# add a cheap colorbar...
cz <- pretty(range(z))
cx <- seq_along(cz)
image(x=cx, z=matrix(cz), xaxt="n", yaxt="n", col=pal(11))
axis(1, cx, cz)

Gives you something this:

So your job would be to make z and modify the code, etc.