第二个y轴与其他比例

Question

我使用ggplot2 geom_bar创建了一个条形图，并希望在条形图中有两个指标。我用熔化剂来做到这一点。但是，我现在需要另一个具有另一个比例的y轴，因为这两个指标的数量太不相同了。

在下面的数据框和我使用的代码中：

df <- data.frame(categories = c("politics", "local", "economy", "cultural events", 
                                "politics", "local", "economy", "cultural events"), 
               metric = c("page", "page", "page", "page", 
                          "product", "product", "product", "product"), 
               value = c(100L, 50L, 20L, 19L, 
                         950000L, 470000L, 50000L, 1320L))

在下面我用来创建绘图和第二个y轴的代码：

x <- ggplot(df, aes(x=categories, y=value, fill = metric))
x + geom_bar(stat = "identity", position = "dodge") +
  scale_y_continuous(sec.axis=sec_axis(~. *1000), limits=c(1,1000))

但是，现在图表中不再出现任何条形图了...有人知道如何解决这个问题吗？

Answer 1

另一种方法可能是使用highcharter

library(dplyr)
library(tidyr)
library(highcharter)

#convert your data in wide format
df <- df %>% spread(metric, value)

#plot
highchart() %>% 
  hc_xAxis(categories = df$categories) %>%
  hc_yAxis_multiples(
    list(lineWidth = 3, title = list(text = "Page")),
    list(opposite = TRUE, title = list(text = "Product"))
  ) %>% 
  hc_add_series(type = "column", data = df$page) %>% 
  hc_add_series(type = "line", data = df$product, yAxis=1) # replace "line" with "column" to have it in bar format

输出图是：

示例数据：

df <- structure(list(categories = structure(c(4L, 3L, 2L, 1L, 4L, 3L, 
2L, 1L), .Label = c("cultural events", "economy", "local", "politics"
), class = "factor"), metric = structure(c(1L, 1L, 1L, 1L, 2L, 
2L, 2L, 2L), .Label = c("page", "product"), class = "factor"), 
    value = c(100L, 50L, 20L, 19L, 950000L, 470000L, 50000L, 
    1320L)), .Names = c("categories", "metric", "value"), row.names = c(NA, 
-8L), class = "data.frame")

Answer 2

不是在同一个地块上显示不同的条形图，而是可以将它们堆叠在一起（或面对它们）：

正如@ConorNeilson已在评论中提到的那样，您不必（也不应该）使用df$指定变量。 ggplot知道在指定的data.frame df中查找它们 free_y - 调用中的facet_grid参数可以在y轴上显示不同的比例。

library(ggplot2)
ggplot(df, aes(x = categories, y = value, fill = metric)) + 
  geom_bar(stat = "identity", position = "dodge") +
  facet_grid(metric~., scales = "free_y")

您可以比较log10 - 比例的不同值：

ggplot(df, aes(x = categories, y = value, fill = metric)) + 
  geom_bar(stat = "identity", position = "dodge") +
  scale_y_log10(name = "value (log10 scale)", 
                breaks = 10^(0:10), labels = paste0(10, "^", 0:10))