我遇到了一个“经典”的ggplot问题,非常类似于问题discussed here。我试着按照那里的建议来解决它,但不知何故它不起作用。
数据集为:
overall <- structure(list(organization = c("orga_arts", "orga_arts", "orga_arts",
"orga_arts", "orga_environment", "orga_environment", "orga_environment",
"orga_environment", "orga_humanrights", "orga_humanrights", "orga_humanrights",
"orga_humanrights", "orga_labour", "orga_labour", "orga_labour",
"orga_labour", "orga_neighbor", "orga_neighbor", "orga_neighbor",
"orga_neighbor", "orga_none", "orga_none", "orga_none", "orga_none",
"orga_others", "orga_others", "orga_others", "orga_others", "orga_party",
"orga_party", "orga_party", "orga_party", "orga_patriotic", "orga_patriotic",
"orga_patriotic", "orga_patriotic", "orga_religious", "orga_religious",
"orga_religious", "orga_religious", "orga_sports", "orga_sports",
"orga_sports", "orga_sports", "orga_welfare", "orga_welfare",
"orga_welfare", "orga_welfare"), among_participants = c(8.5,
8.5, 8.5, 8.5, 8.7, 8.7, 8.7, 8.7, 2.6, 2.6, 2.6, 2.6, 11.4,
11.4, 11.4, 11.4, 5.4, 5.4, 5.4, 5.4, 49.9, 49.9, 49.9, 49.9,
4.9, 4.9, 4.9, 4.9, 5.6, 5.6, 5.6, 5.6, 1, 1, 1, 1, 11.8, 11.8,
11.8, 11.8, 19.1, 19.1, 19.1, 19.1, 4.4, 4.4, 4.4, 4.4), value = c(10.7,
10.6, 11.9, 11, 12.9, 10.9, 12.8, 8.8, 4, 5.5, 5.4, 3.2, 12.3,
10.5, 12, 14.3, 6.9, 7.8, 7.6, 6.5, 46.9, 45.3, 45.1, 47.7, 5.4,
4.3, 5.4, 5.1, 6.5, 9, 4.5, 5.8, 0.9, 1.2, 1.2, 1.7, 13.2, 12.5,
12, 10.5, 20.8, 17.3, 19.2, 21.5, 5.7, 5.4, 4.5, 5.4), type = c("issue_climate",
"issue_racism", "issue_corona_eco", "issue_corona", "issue_climate",
"issue_racism", "issue_corona_eco", "issue_corona", "issue_climate",
"issue_racism", "issue_corona_eco", "issue_corona", "issue_climate",
"issue_corona", "issue_corona_eco", "issue_racism", "issue_climate",
"issue_racism", "issue_corona_eco", "issue_corona", "issue_corona_eco",
"issue_racism", "issue_climate", "issue_corona", "issue_racism",
"issue_climate", "issue_corona_eco", "issue_corona", "issue_climate",
"issue_racism", "issue_corona", "issue_corona_eco", "issue_climate",
"issue_racism", "issue_corona_eco", "issue_corona", "issue_climate",
"issue_racism", "issue_corona_eco", "issue_corona", "issue_climate",
"issue_racism", "issue_corona_eco", "issue_corona", "issue_climate",
"issue_racism", "issue_corona_eco", "issue_corona")), row.names = c(NA,
-48L), class = "data.frame")我想做一些类似的事情:
ggplot(overall) +
geom_segment(aes(x = among_participants, xend = value,
y=organization, yend=organization, color=type),
arrow = arrow(length = unit(0.5, "cm")),
position=position_dodge(width=space_between_bars))但很明显是用平行箭头。我知道我可以做geom_linerange,但是我错过了箭头,它们对于显示我心目中的图形设计的变化方向很重要。
我试着这样做:
overall$organization_dodged <- ave(as.numeric(overall$organization), overall$organization,
FUN = function(x) x + rnorm(length(x), sd = .1))然后根据上面链接的问题中的建议答案,用scale_y_continuous执行geom_segment,但我无法让它工作。
我还在this thread上看到,10年前就应该有更新了。也许这发生了,我错过了一个简单的修复,我现在看不到了?
发布于 2021-06-06 05:42:22
我敢打赌,这可以做得更优雅,但这似乎是有效的:
space_between_bars <- 0.2
overall$type_y_adj = scale(as.numeric(as.factor(overall$type))) * -space_between_bars
overall$y = as.numeric(as.factor(overall$organization)) + overall$type_y_adj
ggplot(overall) +
geom_segment(aes(x = among_participants, xend = value, y=y, yend=y, color=type),
arrow = arrow(length = unit(0.1, "cm"))) +
scale_y_continuous(breaks = 1:length(unique(overall$organization)),
labels = unique(overall$organization), minor_breaks = NULL)

https://stackoverflow.com/questions/67853990
复制相似问题