Question

我想制作一个Z的条形图，由一个称为Y的分组变量分组，然后进一步分组为X。我敢肯定有一种绘制此图形的理想方法，但这就是我所掌握的。

HW1bii <- HW1b %>% 
  group_by(Y,X)

ggplot(data = HW1bii, mapping = aes(x = Z)) +
  geom_bar(color = "Black", fill = "steelblue")

并不是我要找的东西，但我希望有人能帮助我找到更好的东西。

structure(list(X = c(1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 
4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L, 7L, 7L, 7L), Y = c(1L, 2L, 3L, 
1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 
2L, 3L), Z = c(113L, 109L, 105L, 80L, 122L, 88L, 104L, 98L, 93L, 
105L, 99L, 105L, 99L, 105L, 94L, 104L, 110L, 109L, 106L, 93L, 
125L)), row.names = c(NA, -21L), class = c("tbl_df", "tbl", "data.frame"
))

Answer 1

有很多方法可以做到这一点。这是在x轴上绘制X，使用Y按facet_grid分组的图。

library(ggplot2)

ggplot(data = HW1b, aes(x = factor(X), y = Z)) +
  geom_bar(stat = "identity", color = "Black", fill = "steelblue", width = 0.5) +
  scale_x_discrete(name = "X") +
  facet_grid(Y ~ .)

您也可以使用coord_flip来移动轴。

ggplot(data = HW1b, aes(x = factor(X), y = Z)) +
  geom_bar(stat = "identity", color = "Black", fill = "steelblue", width = 0.5) +
  scale_x_discrete(name = "X") +
  coord_flip() +
  facet_grid(Y ~ .)

或使用facet_grid(Y ~ X, scales = "free_x)

ggplot(data = HW1b, aes(x = factor(X), y = Z)) +
  geom_bar(stat = "identity", color = "Black", fill = "steelblue", width = 0.5) +
  scale_x_discrete(name = "") +
  facet_grid(Y ~ X, scales = "free_x")

或将Y映射到fill。

ggplot(data = HW1b, aes(x = factor(X), y = Z, fill = factor(Y))) +
  geom_bar(stat = "identity", color = "Black", width = 0.5) +
  scale_x_discrete(name = "X") +
  scale_fill_viridis_d(name = "Y") +
  coord_flip()

或使用position = "dodge"创建组条形图。

ggplot(data = HW1b, aes(x = factor(X), y = Z, fill = factor(Y))) +
  geom_bar(stat = "identity", position = "dodge", color = "Black", width = 0.5) +
  scale_x_discrete(name = "X") +
  scale_fill_viridis_d(name = "Y")

这不是条形图，但是您也可以考虑使用geom_tile将Z映射为fill。

ggplot(data = HW1b, aes(x = X, y = Y, fill = Z)) +
  geom_tile(color = "Black") +
  scale_fill_viridis_c()

数据

HW1b <- structure(list(X = c(1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 
                     4L, 4L, 5L, 5L, 5L, 6L, 6L, 6L, 7L, 7L, 7L), Y = c(1L, 2L, 3L, 
                                                                        1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 2L, 3L, 1L, 
                                                                        2L, 3L), Z = c(113L, 109L, 105L, 80L, 122L, 88L, 104L, 98L, 93L, 
                                                                                       105L, 99L, 105L, 99L, 105L, 94L, 104L, 110L, 109L, 106L, 93L, 
                                                                                       125L)), row.names = c(NA, -21L), class = c("tbl_df", "tbl", "data.frame"
                                                                                       ))

Answer 2

创建分组变量后，您可以使用facet_wrap()进行此操作：

ggplot(HW1b %>% mutate(group = paste(X, Y, sep = "-")), aes(x = Z)) +
geom_bar(color = "Black", fill = "steelblue") +
facet_wrap(~group)

请注意，ggplot()会忽略由group_by()创建的组，因此您无需执行代码的第一步

如何使用ggplot2创建带有主分组变量和子分组变量的条形图？

2 个答案: