I have a a list with three arrays and a v vector with three frequencies (any positive real ones), these arrays form triangles through a function that created pplot . I want to add the information of v to build prisms, that is, exit from 2D to 3D. Does anyone have any ideas or tips on how to do it?

Below is the function pplot and a toy problem:

library(ggplot2)
pplot <- function(polygon){
  polygon <- lapply(polygon, function(x) {colnames(x) <- NULL; x})
  vertex_number = nrow(polygon[[1]])
  g = ggplot2::ggplot()
  names(polygon) = 1:length(polygon)
  k <- plyr::ldply(polygon, function(x) data.frame(x))
  g <- ggplot2::ggplot(k, ggplot2::aes(x = X1, y = X2, group = .id)) + ggplot2::geom_polygon(colour = "black", fill = NA)
  return(g)
}

a <- list()
b1 <- matrix(rnorm(6), ncol = 2)
b2 <- matrix(rnorm(6), ncol = 2)
b3 <- matrix(rnorm(6), ncol = 2)

a[[1]] <- b1
a[[2]] <- b2
a[[3]] <- b3

v <- c(.3, .5, .1)
#Para exemplificar a funcao que eh 2D
pplot(a) 

Note: The data is mandatory.

Desired response

For example, by forming a prism through b1 and v[1] , then the prism base is b1 and height (h) is v[1] . The same reasoning goes on b2 with v[2] and b3 with v[3] .