Closed as not planned
Closed as not planned
Description
I have exactly the same problem as reported here, not sure why that one was closed.
When I produce ggplot2 and then right click the chart and select "Copy as metafile" (in the standard Rgui in Windows), it scales the whole figure just in the top left quarter like this:
- In the Rgui, everything looks alright.
- I get the same faulty result when I do
ggsave("cover.wmf")
.
Reproducible code:
cover <- structure(list(scen = c(1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L,
2L, 2L, 3L, 3L, 3L, 3L, 3L, 3L, 4L, 4L, 4L, 4L, 4L, 4L, 5L, 5L,
5L, 5L, 5L, 5L, 6L, 6L, 6L, 6L, 6L, 6L, 7L, 7L, 7L, 7L, 7L, 7L,
8L, 8L, 8L, 8L, 8L, 8L, 9L, 9L, 9L, 9L, 9L, 9L, 10L, 10L, 10L,
10L, 10L, 10L, 11L, 11L, 11L, 11L, 11L, 11L, 12L, 12L, 12L, 12L,
12L, 12L, 13L, 13L, 13L, 13L, 13L, 13L, 14L, 14L, 14L, 14L, 14L,
14L, 15L, 15L, 15L, 15L, 15L, 15L), n = c(20, 20, 20, 20, 20,
20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20,
20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20,
20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20,
20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20,
20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20, 20,
20, 20, 20, 20, 20), r = c(0, 0, 0, 0, 0, 0, 0.2, 0.2, 0.2, 0.2,
0.2, 0.2, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.6, 0.6, 0.6, 0.6, 0.6,
0.6, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0, 0, 0, 0, 0, 0, 0.2, 0.2,
0.2, 0.2, 0.2, 0.2, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.6, 0.6, 0.6,
0.6, 0.6, 0.6, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8, 0, 0, 0, 0, 0, 0,
0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.4, 0.4, 0.4, 0.4, 0.4, 0.4, 0.6,
0.6, 0.6, 0.6, 0.6, 0.6, 0.8, 0.8, 0.8, 0.8, 0.8, 0.8), n_ind = c(40,
40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40,
40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 40, 160, 160,
160, 160, 160, 160, 160, 160, 160, 160, 160, 160, 160, 160, 160,
160, 160, 160, 160, 160, 160, 160, 160, 160, 160, 160, 160, 160,
160, 160, 640, 640, 640, 640, 640, 640, 640, 640, 640, 640, 640,
640, 640, 640, 640, 640, 640, 640, 640, 640, 640, 640, 640, 640,
640, 640, 640, 640, 640, 640), method = structure(c(3L, 4L, 5L,
2L, 6L, 1L, 3L, 4L, 5L, 2L, 6L, 1L, 3L, 4L, 5L, 2L, 6L, 1L, 3L,
4L, 5L, 2L, 6L, 1L, 3L, 4L, 5L, 2L, 6L, 1L, 3L, 4L, 5L, 2L, 6L,
1L, 3L, 4L, 5L, 2L, 6L, 1L, 3L, 4L, 5L, 2L, 6L, 1L, 3L, 4L, 5L,
2L, 6L, 1L, 3L, 4L, 5L, 2L, 6L, 1L, 3L, 4L, 5L, 2L, 6L, 1L, 3L,
4L, 5L, 2L, 6L, 1L, 3L, 4L, 5L, 2L, 6L, 1L, 3L, 4L, 5L, 2L, 6L,
1L, 3L, 4L, 5L, 2L, 6L, 1L), levels = c("true", "ignore", "BPA2012",
"corrected(1)", "corrected(100)", "model_est"), class = "factor"),
cover_count = c(3243L, 4916L, 4918L, 4772L, 4825L, 4769L,
3266L, 4918L, 4919L, 4751L, 4810L, 4774L, 3341L, 4886L, 4886L,
4733L, 4821L, 4751L, 3134L, 4798L, 4794L, 4687L, 4816L, 4783L,
2030L, 4285L, 4279L, 4298L, 4828L, 4745L, 1859L, 4810L, 4809L,
4733L, 4805L, 4722L, 1896L, 4822L, 4820L, 4739L, 4817L, 4747L,
2041L, 4821L, 4825L, 4744L, 4803L, 4737L, 2284L, 4827L, 4826L,
4752L, 4815L, 4756L, 2760L, 4806L, 4808L, 4773L, 4835L, 4758L,
959L, 4740L, 4739L, 4719L, 4796L, 4721L, 976L, 4754L, 4761L,
4738L, 4805L, 4734L, 1101L, 4755L, 4759L, 4732L, 4793L, 4728L,
1202L, 4795L, 4796L, 4772L, 4820L, 4765L, 1610L, 4842L, 4840L,
4788L, 4835L, 4758L), cover = c(0.6486, 0.9832, 0.9836, 0.9544,
0.965, 0.9538, 0.6532, 0.9836, 0.9838, 0.9502, 0.962, 0.9548,
0.6682, 0.9772, 0.9772, 0.9466, 0.9642, 0.9502, 0.6268, 0.9596,
0.9588, 0.9374, 0.9632, 0.9566, 0.406, 0.857, 0.8558, 0.8596,
0.9656, 0.949, 0.3718, 0.962, 0.9618, 0.9466, 0.961, 0.9444,
0.3792, 0.9644, 0.964, 0.9478, 0.9634, 0.9494, 0.4082, 0.9642,
0.965, 0.9488, 0.9606, 0.9474, 0.4568, 0.9654, 0.9652, 0.9504,
0.963, 0.9512, 0.552, 0.9612, 0.9616, 0.9546, 0.967, 0.9516,
0.1918, 0.948, 0.9478, 0.9438, 0.9592, 0.9442, 0.1952, 0.9508,
0.9522, 0.9476, 0.961, 0.9468, 0.2202, 0.951, 0.9518, 0.9464,
0.9586, 0.9456, 0.2404, 0.959, 0.9592, 0.9544, 0.964, 0.953,
0.322, 0.9684, 0.968, 0.9576, 0.967, 0.9516)), row.names = c(NA,
-90L), class = "data.frame")
library(ggplot2)
ggplot(cover, aes(x = r, y = cover)) + ylab("coverage (95% CI)") +
geom_hline(yintercept = 0.95) +
geom_point(color = "#00B937")
ggplot2 version 3.5.1 in R 4.4.1
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