出于以下几个原因,我试图复制下面显示的怪诞阴谋。它违反了良好数据可视化的许多规则,所以出于培训目的,我的目标是使用ggplot2
并解构它 - 逐个删除或修改选择不好的功能。使用底部复制的数据和剧情下方的代码,我越来越接近,但一直无法弄清楚如何包含一个显着特征。使用ggplot2,您如何在刻度标签周围创建一个框?
问题:有没有办法在三个刻度标签周围重现黑色阴影的矩形? (如果是这样,它直接创建另一个因素变量来确定这三个标签,并改变其字体为白色。)
ggplot(plotpg19, aes(x = risks, y = scores, fill = colors)) +
geom_bar(stat = "identity", width = 0.6) +
scale_fill_manual(values = c("grey50", "deepskyblue2", "mediumorchid3", "gold")) +
geom_text(aes(label = scores), hjust = -0.4, size = 8, face = "bold") +
coord_flip() +
theme_bw() + labs(x = NULL, y = NULL) +
theme(panel.grid.major = element_blank()) +
guides(fill = FALSE) +
scale_y_continuous(breaks = seq(0, 100, 20), labels = seq(0, 100, 20), expand = c(0,0)) +
theme(panel.border = element_blank(), axis.line = element_line(colour = "black", size = 5, linetype ="solid", lineend = "square")) +
geom_hline(yintercept = seq(0, 80, 10), colour="grey30", size = .5, linetype="dotted") +
theme(axis.line.x = element_blank()) # to get a single axis border, must format both and then blank one
顺便说一句,这个问题uses symbols for tick labels可以使用提供一些见解grImport
包,但它的教导超出了我的想法,我正在寻找围绕指定刻度标签的阴影框。
dput(plotpg19)
structure(list(risks.format = structure(c(2L, 3L, 1L, 4L, 5L,
7L, 8L, 6L), .Label = c("Geographic locations in which\n the company operates",
"Inadequate resources for anti-bribery/\ncorruption compliance activities",
"Industries/sector(s) in which\n the company operates",
"Lack of anti-bribery/corruption training\n or awareness within the business",
"Lack of understanding\n by top executives",
"Other", "Rogue employees", "Third parties/associates\n acting on our behalf"
), class = "factor"), risks = structure(c(8L, 7L, 6L, 5L, 4L,
3L, 2L, 1L), .Label = c("Other", "Third parties/associates acting on our behalf",
"Rogue employees", "Lack of understanding by top executives",
"Lack of anti-bribery/corruption training or awareness within the business",
"Geographic locations in which the company operates", "Industries/sector(s) in which the company operates",
"Inadequate resources for anti-bribery/corruption compliance activities"
), class = "factor"), scores = c(15, 28, 71, 16, 5, 48, 55, 2
), colors = c("A", "A", "B", "A", "A", "C", "D", "A")), .Names = c("risks.format",
"risks", "scores", "colors"), row.names = c(NA, -8L), class = "data.frame")
我能想到的唯一方法是创建的情节,并呼吁'ggplot_build'和'手动ggplot_gtable'得到的网格版本剧情,然后手动编辑适当的grobs。 –