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我正在尝试随时间生成叠加密度图，比较男性与女性的密度。这是我的输出： 在此处输入图像描述

我正在关注来自https://cran.r-project.org/web/packages/ggridges/vignettes/gallery.html的澳大利亚运动员身高示例。这是我的代码：

ggplot(math_dat, aes(x = order_math, y = time, color = gender, point_color = gender, fill = gender)) +
  geom_density_ridges(
    jittered_points = TRUE, scale = .95, rel_min_height = .01,
    point_shape = "|", point_size = 3, size = 0.25,
    position = position_points_jitter(height = 0)
  ) +
  scale_y_discrete(expand = c(0, 0)) +
  scale_x_continuous(expand = c(0, 0), name = "Rankings") +
  scale_fill_manual(values = c("#D55E0050", "#0072B250"), labels = c("female", "male")) +
  scale_color_manual(values = c("#D55E00", "#0072B2"), guide = "none") +
  scale_discrete_manual("point_color", values = c("#D55E00", "#0072B2"), guide = "none") +
  coord_cartesian(clip = "off") +
  guides(fill = guide_legend(
    override.aes = list(
      fill = c("#D55E00A0", "#0072B2A0"),
      color = NA, point_color = NA)
  )
  ) +
  ggtitle("Ranks over time") +
  theme_ridges(center = TRUE)

我的问题是我无法生成任何 Y 轴刻度值，并且该示例也不显示任何值。任何想法如何让 Y 轴刻度线显示？以下是一些类似于我的示例数据：

## generating dataset
order_math<-c(1,2,1,2,3,3,1,2,3,1,2,3)
gender<-c("M","F","M","M","M","F","F","M","F","M","M","F")
time<-c(1,1,2,3,3,2,1,2,3,2,3,1)
sample<-data.frame(order_math,gender,time)

更新：在@Tomasu 的建议之后，我更新了我的代码，但它没有运行：

ggplot(math_dat, aes(x = order_math, y = time, color = gender, point_color = gender, fill = gender)) +
  geom_density_ridges(
    jittered_points = TRUE, scale = .95, rel_min_height = .01,
    point_shape = "|", point_size = 3, size = 0.25,
    position = position_points_jitter(height = 0)
  ) +
  scale_y_reverse(limits = c(1000, 500, 100),expand = c(0, 0)) +
  scale_x_continuous(expand = c(0, 0), name = "Rankings") +
  scale_fill_manual(values = c("#D55E0050", "#0072B250"), labels = c("female", "male")) +
  scale_color_manual(values = c("#D55E00", "#0072B2"), guide = "none") +
  scale_discrete_manual("point_color", values = c("#D55E00", "#0072B2"), guide = "none") +
  coord_cartesian(clip = "off") +
  guides(fill = guide_legend(
    override.aes = list(
      fill = c("#D55E00A0", "#0072B2A0"),
      color = NA, point_color = NA)
  )
  ) +
  ggtitle("Ranks over time") +
  theme_ridges(center = TRUE)+
  theme(
    axis.ticks = element_line(size=0.5),         # turn ticks back on
    axis.ticks.length = grid::unit(5, "pt"),     # set length
    axis.ticks.y = element_line(colour = "red"), # define tick line color
    axis.text.y = element_text(vjust = .4)       # center text with tick
  )
4

2 回答 2

2

解决此问题的一个简单方法是使用theme_包含轴刻度的 a ，因为theme_ridges()它们已关闭。只需将该主题全部删除并使用基本的 ggplot2 主题即可达到预期的结果。

但是，假设我们仍然想使用theme_ridges()并重新打开滴答声。这可以theme()通过在theme_ridges().

我正在使用提供的链接中的示例，因为我无法让您的示例数据正常工作。

library(ggplot2)
library(ggplot2movies)
library(ggridges)

ggplot(movies[movies$year>1912,], aes(x = length, y = year, group = year)) +
  geom_density_ridges(scale = 10, size = 0.25, rel_min_height = 0.03) +
  theme_ridges() +
  theme(
    axis.ticks = element_line(size=0.5),         # turn ticks back on
    axis.ticks.length = grid::unit(5, "pt"),     # set length
    axis.ticks.y = element_line(colour = "red"), # define tick line color
    axis.text.y = element_text(vjust = .4)       # center text with tick
  ) +
  scale_x_continuous(limits = c(1, 200), expand = c(0, 0)) +
  scale_y_reverse(
    breaks = c(2000, 1980, 1960, 1940, 1920, 1900),
    expand = c(0, 0)
  ) +
  coord_cartesian(clip = "off")

由reprex 包于 2021-05-11 创建(v1.0.0)

于 2021-05-11T15:26:00.467 回答
1

我认为您的问题是您需要指定组。

相关线程：geom_density_ridges 需要以下缺失的美学：y

扩展来自用户 tomasu 的答案+1的代码

library(ggridges)
library(ggplot2)
order_math<-c(1,2,1,2,3,3,1,2,3,1,2,3)
gender<-c("M","F","M","M","M","F","F","M","F","M","M","F")
time<-c(1,1,2,3,3,2,1,2,3,2,3,1)
sample<-data.frame(order_math,gender,time)

ggplot(sample, aes(x = order_math, y = time, group = time,
                   color = gender, point_color = gender, fill = gender)) +
  geom_density_ridges()  +
  theme(
    axis.ticks = element_line(size=0.5),         # turn ticks back on
    axis.ticks.length = grid::unit(5, "pt"),     # set length
    axis.ticks.y = element_line(colour = "red"), # define tick line color
    axis.text.y = element_text(vjust = .4)       # center text with tick
  )
#> Picking joint bandwidth of 0.555

由reprex 包于 2021-05-12 创建 (v2.0.0 )

于 2021-05-12T09:20:18.003 回答