## ----setup, echo=FALSE, message=FALSE,warning=FALSE,out.width='100%'----------
library(minixcali)
library(purrr)
library(knitr)
opts_chunk$set(message = FALSE,
warning=FALSE,
fig.width = 7,
fig.height = 4,
out.width='50%')
## ---- fig.width = 3, fig.height = 5-------------------------------------------
library(minixcali)
library(flametree)
library(ggplot2)
dat <- flametree_grow(seed = 4, time = 5) # data structure
img <- flametree_plot(tree = dat) # ggplot object
img
## ----data---------------------------------------------------------------------
gb <- ggplot_build(img)
tr <- gb$data[[1]]
b <- split(tr, tr$group)
str(b, list.len = 3)
## ----fun----------------------------------------------------------------------
d <- Excali_doc()
library(scales)
scale <- 100
for (ii in seq_along(b)) {
s <- b[[ii]]
r_x <- range(s$x)
r_y <- range(s$y)
m <- scale * cbind(s$x - r_x[1],-s$y - r_y[1])
shape <- xkd_draw(
x = scale * r_x[1],
y = scale * r_y[1],
width = scale * diff(r_x),
height = scale * diff(r_y),
strokeWidth = 1,
roughness = 0L,
strokeSharpness = "round",
groupIds = list("levelplot",
paste0('level-', ii)),
fillStyle = "solid",
strokeColor = s$colour[1],
backgroundColor = s$colour[1],
points = m)
d$add(shape)
}
d$export('tree.json')
## ----drawing, out.width="50%", fig.align='center', echo=FALSE-----------------
knitr::include_graphics('tree.png')
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