基于R中范围的分组直方图答案

【问题标题】：Grouped histogram based on range in R基于R中范围的分组直方图
【发布时间】：2021-08-21 20:40:15
【问题描述】：

我有一个这种格式的数据集，我想制作一个分组直方图和范围，即10-20, 20-30, ..., 90-100。

   group weight
1  A     54
2  A     55
3  B     52
4  B     53
5  C     60

我尝试了以下方法来生成直方图，但不确定如何在 X 轴上制作权重范围。

ggplot(df, aes(x = weight)) +
  geom_histogram(aes(color = gp), fill = "white",
                 position = "identity", bins = 30) +
  scale_color_manual(values = c("red", "blue", 'green'))

我实际上需要一个像下面这样的直方图

【问题讨论】：

标签： r ggplot2 histogram

【解决方案1】：

这是条形图，不是直方图。这是一种重现它的方法：

library(dplyr)

df %>%
  mutate(weight_class = cut(weight,
                            breaks = seq(20, 60, by = 10))) %>%
  ggplot() +
    geom_bar(aes(x = weight_class, fill = group), position = "dodge") +
    scale_fill_manual(values = c("red", "blue", "green"))

【讨论】：

它给出了以下错误Error in cut(weight, breaks = seq(20, 60, by = 10)) : object 'weight' not found
您的df 对象是否有weight 列？
是的，它确实有一个weight 列。我在 R studio 上执行这样的语法df <- mutate(weight_class = cut(weight, breaks = seq(20, 60, by = 10)))
那行不通。不过你可以拨打df <- mutate(df, weight_class = cut(weight, breaks = seq(20, 60, by = 10)))
谢谢！！当我执行以下 df<- mutate(df, weight_class = cut(weight, breaks = seq(20, 70, by = 10))) 和 ggplot(df) + geom_bar(aes(x = weight_class, fill = gp), position = "dodge") + scale_fill_manual(values = c("red", "blue", "green")) 时，它现在看起来不错