我有由最小点和最大点定义的 d 维超矩形。我在这些矩形上有权重，它们形成 [0,1]^d 的分区。我如何绘制一个多面的 geom_tiles 来显示这个分区的每个二维投影？
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0.5, 0.451580787792305, 0.5, 1), .Dim = c(203L, 4L)), weights = structure(c(2.78373149121937e-09,
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0, 0), .Dim = 203L))
例如，对于第一个框，它从x$minimum_points[1,]到x$maximum_points[1,]。请注意，我建议的框是 [0,1]^4 的分区。
如果问题的维度是 2，我可以使用 geom_tile 和类似这个问题的结果。但我在一个多维的情况下，我想要一个图来描述所有的二元边缘，矩形填充的灰色量与它们对应的权重成正比......
我不确定我是否足够清楚。你能帮忙吗 ？
编辑：这篇文章也可能是相关的，这看起来很像我想要的，但我想要这些图之一用于我的 4 维问题的每个双变量投影（pairs如果你想绘制 4 维数据，就像会做的那样）。
编辑：如果我只想绘制前 2 个维度，我可以这样做：
data.frame(xmin = x$minimum_points[,1],
ymin = x$minimum_points[,2],
xmax = x$maximum_points[,1],
ymax = x$maximum_points[,2]) %>%
ggplot(aes(xmin = xmin, xmax = xmax, ymin = ymin, ymax = ymax)) +
geom_rect(alpha = (x$weight/max(x$weight)))
这有一个问题：它假设alpha参数是相加的：如果我设置两个分别为alpha0.1 和 0.2 的框，则交集看起来像一个带有alpha0.3 的框。如果这是真的，那就完美了！否则必须做一些更聪明的事情..
此外，我该如何面对它？即，如果 facet_grid 中的尺寸，对所有夫妻都这样做？每个维度都等于自身的情况是不可能的，因此在刻面网格的对角线上不绘制任何内容是可以的。