具有多个条形的条形图

发布于 2025-01-21 04:05:41 字数 551 浏览 1 评论 0原文

我有一个包含多个列的大型数据集。现在我想制作一个条形图来可视化结果，我将首先制作一个看起来像我的数据集

age <- ("18-30","31-45","60+","46-60", "31-45", "18-30", "60+", "46-60")
gender <- ("M","F","F","F","M","M","F","M")
case <- ("Q1","Q1","Q2","Q2","Q3","Q3","Q4","Q4")
height <- (0,200,310,0,0,175,270,150)

现在我想制作一个条形图，其中 x 轴上有 4 个案例，Y 轴上有平均高度，两个不同的 M 和 F 条表示平均高度。它应该看起来像这样：除了使用 barplot() 之外，我真的不知道如何开始或做什么，任何人都可以帮忙吗？

原文

i have a large dataset with several columns. now i would like to make a barplot to visualise the results, I will first make a dataset that looks like mine

age <- ("18-30","31-45","60+","46-60", "31-45", "18-30", "60+", "46-60")
gender <- ("M","F","F","F","M","M","F","M")
case <- ("Q1","Q1","Q2","Q2","Q3","Q3","Q4","Q4")
height <- (0,200,310,0,0,175,270,150)

Now i would like to make a barplot with on the x-axis the 4 cases, on the Y-axis the average height, and two different bars for M and F indicating the average height.
it should look like this:

except for using the barplot(), I don't really know how to start or what to do, can anyone help?

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胡大本事 2025-01-28 04:05:41

您可以这样做：将矢量放入 tibble 中，以便您可以轻松地将它们传递给您的 ggplot() 调用。

age <- c("18-30","31-45","60+","46-60", "31-45", "18-30", "60+", "46-60")
gender <- c("M","F","F","F","M","M","F","M")
case <- c("Q1","Q1","Q2","Q2","Q3","Q3","Q4","Q4")
height <- c(0,200,310,0,0,175,270,150)

data <- tibble(age,gender,case,height)


ggplot(data = data, aes(x = case, y = height, fill = gender)) +
  geom_col(position = position_dodge(preserve = "single"))

You could do like this: Put your vectors into a tibble so that you can easily pass them to your ggplot() call.

age <- c("18-30","31-45","60+","46-60", "31-45", "18-30", "60+", "46-60")
gender <- c("M","F","F","F","M","M","F","M")
case <- c("Q1","Q1","Q2","Q2","Q3","Q3","Q4","Q4")
height <- c(0,200,310,0,0,175,270,150)

data <- tibble(age,gender,case,height)


ggplot(data = data, aes(x = case, y = height, fill = gender)) +
  geom_col(position = position_dodge(preserve = "single"))

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