plots a sample in parallel coordinates

This function makes a plot that is quite similar to parallel coordinates. It includes information about the prior as error-bars, centered around th eprior's median.

Usage

pcDist(posterior, prior, color = rgb(0.5, 0.5, 0.5, 0.05), ...)

Arguments

posterior: a matrix, with N rows (sample-members), and M columns (different model parameters). The columns must be named.
prior: a data.frame with at least $median, and $stdv columns. This data.frame may also include the fields: color, and colorOutline to change the prior error-bars.
color: the color of the sample lines, should have some transparency.
...: parameters are passed to matplot.

Value

produces a plot

Examples

rprior <- rNormalPrior(c(-1,0,1),c(1,2,3))
A <- matrix(rnorm(9),3,3)
A <- (A + t(A))^2/norm(A)^2
X <- rprior(1000)
Z <- X %*% A
colnames(Z) <- letters[seq(3)]
pr <- data.frame(median=apply(X,2,median),stdv=apply(X,2,sd))
pcDist(Z,pr)
#> Error in pcDist(Z, pr): object 'X' not found