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# benmarwick/gist:8cf22ecb74ac511f8ac1c70aef6038a7

Last active Nov 2, 2021
How to make diamond plots after Bergstrom and West (2018) "Why scatter plots suggest causality, and what we can do about it"
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 # https://arxiv.org/pdf/1809.09328.pdf & https://twitter.com/CT_Bergstrom/status/1035327464644333568 # they use Mathematica, boo! So let's make them with R # starting with https://stackoverflow.com/q/33396168/1036500 library(ggplot2) p <- ggplot() + geom_point(data = anscombe, aes(x = x1, y = y1), colour = "red", alpha = 0.5, size = 3) + theme_minimal() + theme(axis.text.x= element_text(size = 10), axis.text.y= element_text(size = 10)) + theme(axis.text.x = element_text(angle=(-1 * rotation)), axis.text.y = element_text(angle=(-1 * rotation)), axis.title.x = element_text(size = 12, angle=(-1 * rotation), vjust = 0.5, margin = margin(t = 10), colour = "red"), axis.title.y = element_text(size = 12, angle=(-1 * rotation), hjust = 0.5, margin = margin(r = 20), colour = "red")) + coord_equal() + scale_x_continuous(limits = c(0, 15), name = "x") + scale_y_continuous(limits = c(0, 15), name = "y") library(grid) print(p, vp=viewport(angle=rotation, width = unit(.75, "npc"), height = unit(.75, "npc")))