根据ggplot2中的因子水平两个图进行排序

Question

我有一个名为 df 的数据框，其中包含 Likert 数据和一个具有 5 个级别的列 var。

我想根据特定顺序对 Likert 和条形图进行排序。例如，我想从上到下对“A，C，D，E，B”进行排序，而不是根据比例之和:

library(tibble)
library(tidyverse)
library(ggplot2)
library(ggstats)

var_levels <- c(LETTERS[1:5])
n = 500
likert_levels = c(
  "Very \n Dissatisfied",
  "Dissatisfied",
  "Neutral",
  "Satisfied",
  "Very \n Satisfied"
)

df <- tibble(
  var = sample(var_levels, n, replace = TRUE),  
  val1 = sample(likert_levels, n, replace = TRUE),
  val2 = sample(likert_levels, n, replace = TRUE)
)

df
df2 = df%>%
  pivot_longer(!var, names_to = "Categories", values_to = "likert_values")%>%
  select(-Categories)
df2

library(tidyverse)
library(ggstats)
library(patchwork)

# Define the order of 'var' levels
desired_order <- c("A", "C", "D", "E", "B")

# Ensure 'var' is a factor with the specified order
dat <- df |>
  mutate(
    var = factor(var, levels = desired_order),
    across(-var, ~ factor(.x, likert_levels))
  ) |>
  pivot_longer(-var, names_to = "group") |>
  count(var, value, group) |>
  complete(var, value, group, fill = list(n = 0)) |>
  mutate(
    prop = n / sum(n),
    prop_lower = sum(prop[value %in% likert_levels[1:2]]),
    prop_higher = sum(prop[value %in% likert_levels[4:5]]),
    .by = c(var, group)
  ) |>
  arrange(group, prop_lower) |>
  mutate(
    y_sort = paste(var, group, sep = "."),
    y_sort = fct_inorder(y_sort)
  )

top10 <- dat |>
  distinct(group, var, prop_lower) |>
  slice_max(prop_lower, n = 10, by = group)

dat <- dat |>
  semi_join(top10)

dat_tot <- dat |>
  distinct(group, var, y_sort, prop_lower, prop_higher) |>
  pivot_longer(-c(group, var, y_sort),
               names_to = c(".value", "name"),
               names_sep = "_"
  ) |>
  mutate(
    hjust_tot = ifelse(name == "lower", 1, 0),
    x_tot = ifelse(name == "lower", -1, 1)
  )

dat_bar <- dat |> 
  summarise(
    n = sum(n), .by = c(y_sort, group)
  )

p1 <- ggplot(dat, aes(y = y_sort, x = prop, fill = value)) +
  geom_col(position = position_likert(reverse = FALSE)) +
  geom_text(
    aes(
      label = label_percent_abs(hide_below = .05, accuracy = 1)(prop),
      color = after_scale(hex_bw(.data$fill))
    ),
    position = position_likert(vjust = 0.5, reverse = FALSE),
    size = 3.5
  ) +
  geom_label(
    aes(
      x = x_tot,
      label = label_percent_abs(accuracy = 1)(prop),
      hjust = hjust_tot,
      fill = NULL
    ),
    data = dat_tot,
    size = 3.5,
    color = "black",
    fontface = "bold",
    label.size = 0,
    show.legend = FALSE
  ) +
  scale_y_discrete(labels = \(x) gsub("\\..*$", "", x)) +
  scale_x_continuous(
    labels = label_percent_abs(),
    expand = c(0, .15)
  ) +
  scale_fill_brewer(palette = "BrBG") +
  facet_wrap(~group,
             scales = "free_y", ncol = 1,
             strip.position = "right"
  ) +
  theme_light() +
  theme(
    legend.position = "bottom",
    panel.grid.major.y = element_blank(),
    strip.text = element_blank()
  ) +
  labs(x = NULL, y = NULL, fill = NULL)

p2 <- ggplot(dat_bar, aes(y = y_sort, x = n)) +
  geom_col() +
  geom_label(
    aes(
      label = label_number_abs(hide_below = .05, accuracy = 1)(n)
    ),
    size = 3.5,
    hjust = 1,
    fill = NA,
    label.size = 0,
    color = "white"
  ) +
  scale_y_discrete(labels = \(x) gsub("\\..*$", "", x)) +
  scale_x_continuous(
    labels = label_number_abs(),
    expand = c(0, 0, 0, .05)
  ) +
  facet_wrap(~group,
             scales = "free_y", ncol = 1,
             strip.position = "right"
  ) +
  theme_light() +
  theme(
    legend.position = "bottom",
    panel.grid.major.y = element_blank()
  ) +
  labs(x = NULL, y = NULL, fill = NULL)

# Combine the plots
p1 + p2 +
  plot_layout(
    guides = "collect") & 
  theme(legend.position = "bottom")

问题是 df 是原始数据框，df2 是附加数据框。将这两者结合起来绘制原始条形图和附加的 Likert 图。两者都按顺序从上到下排序“A、C、D、E、B”。 我怎样才能在 R 中做到这一点？

Answer 1

根据给定的代码，您可以使用

y_sort = factor(var, levels = rev(desired_order))

达到您想要的结果：

library(tidyverse)
library(ggstats)
library(patchwork)

# Define the order of 'var' levels
desired_order <- c("A", "C", "D", "E", "B")

# Ensure 'var' is a factor with the specified order
dat <- df |>
  mutate(
    var = factor(var, levels = desired_order),
    across(-var, ~ factor(.x, likert_levels))
  ) |>
  pivot_longer(-var, names_to = "group") |>
  count(var, value, group) |>
  complete(var, value, group, fill = list(n = 0)) |>
  mutate(
    prop = n / sum(n),
    prop_lower = sum(prop[value %in% likert_levels[1:2]]),
    prop_higher = sum(prop[value %in% likert_levels[4:5]]),
    .by = c(var, group)
  ) |>
  arrange(group, prop_lower) |>
  mutate(
    y_sort = factor(var, levels = rev(desired_order))
  )

top10 <- dat |>
  distinct(group, var, prop_lower) |>
  slice_max(prop_lower, n = 10, by = group)

dat <- dat |>
  semi_join(top10)
#> Joining with `by = join_by(var, group, prop_lower)`

dat_tot <- dat |>
  distinct(group, var, y_sort, prop_lower, prop_higher) |>
  pivot_longer(-c(group, var, y_sort),
    names_to = c(".value", "name"),
    names_sep = "_"
  ) |>
  mutate(
    hjust_tot = ifelse(name == "lower", 1, 0),
    x_tot = ifelse(name == "lower", -1, 1)
  )

dat_bar <- dat |>
  summarise(
    n = sum(n), .by = c(y_sort, group)
  )

p1 <- ggplot(dat, aes(y = y_sort, x = prop, fill = value)) +
  geom_col(position = position_likert(reverse = FALSE)) +
  geom_text(
    aes(
      label = label_percent_abs(hide_below = .05, accuracy = 1)(prop),
      color = after_scale(hex_bw(.data$fill))
    ),
    position = position_likert(vjust = 0.5, reverse = FALSE),
    size = 3.5
  ) +
  geom_label(
    aes(
      x = x_tot,
      label = label_percent_abs(accuracy = 1)(prop),
      hjust = hjust_tot,
      fill = NULL
    ),
    data = dat_tot,
    size = 3.5,
    color = "black",
    fontface = "bold",
    label.size = 0,
    show.legend = FALSE
  ) +
  scale_y_discrete(labels = \(x) gsub("\\..*$", "", x)) +
  scale_x_continuous(
    labels = label_percent_abs(),
    expand = c(0, .15)
  ) +
  scale_fill_brewer(palette = "BrBG") +
  facet_wrap(~group,
    scales = "free_y", ncol = 1,
    strip.position = "right"
  ) +
  theme_light() +
  theme(
    legend.position = "bottom",
    panel.grid.major.y = element_blank(),
    strip.text = element_blank()
  ) +
  labs(x = NULL, y = NULL, fill = NULL)

p2 <- ggplot(dat_bar, aes(y = y_sort, x = n)) +
  geom_col() +
  geom_label(
    aes(
      label = label_number_abs(hide_below = .05, accuracy = 1)(n)
    ),
    size = 3.5,
    hjust = 1,
    fill = NA,
    label.size = 0,
    color = "white"
  ) +
  scale_y_discrete(labels = \(x) gsub("\\..*$", "", x)) +
  scale_x_continuous(
    labels = label_number_abs(),
    expand = c(0, 0, 0, .05)
  ) +
  facet_wrap(~group,
    scales = "free_y", ncol = 1,
    strip.position = "right"
  ) +
  theme_light() +
  theme(
    legend.position = "bottom",
    panel.grid.major.y = element_blank()
  ) +
  labs(x = NULL, y = NULL, fill = NULL)

# Combine the plots
p1 + p2 +
  plot_layout(
    guides = "collect"
  ) &
  theme(legend.position = "bottom")