[英]ggplot2 weighted bar plot with position = “dodge”
I am trying to make a weighted dodged bar plot with ggplot2. 我正在尝试使用ggplot2进行加权的加权条形图。 With stacked bars the behavior is as expected:
使用堆叠的钢筋,行为符合预期:
df <- data.frame(group = rep(letters[1:3], each = 4),
sex = rep(c("m", "f"), times = 6),
weight = 1:12)
ggplot(df, aes(x = group, fill = sex, y = weight)) +
geom_bar(stat = "identity")
The bars have length equal to the total weight. 条的长度等于总重量。
If I add position = "dodge", the length of the female group a bar is 4 rather than the expected 6. Similarly, all other bars are only as long as the highest weight in each group & sex combination rather than representing the total weight. 如果我添加position =“ dodge”,则女性组的一根杠的长度为4,而不是预期的6。类似地,所有其他杠的长度仅等于每个组和性别组合中最高的重量,而不代表总重量。
ggplot(df, aes(x = group, fill = sex, y = weight)) +
geom_bar(stat = "identity", position = "dodge")
How do I make the bar lengths match the total weight? 如何使棒的长度与总重量匹配?
@kath's explanation is correct. @kath的解释是正确的。
Another alternative, if you don't want to summarise the data frame before passing it to ggplot()
: use the stat_summary()
function instead of geom_bar()
: 另一种选择是,如果您不想在将数据帧传递给
ggplot()
之前对其进行ggplot()
使用stat_summary()
函数而不是geom_bar()
:
ggplot(df, aes(x = group, fill = sex, y = weight)) +
stat_summary(geom = "bar", position = "dodge", fun.y = sum)
You can first summarise the data in your desired way and then plot it: 您可以首先以所需的方式汇总数据,然后将其绘制:
library(dplyr)
library(ggplot2)
df %>%
group_by(group, sex) %>%
summarise(total_weight = sum(weight)) %>%
ggplot(aes(x = group, fill = sex, y = total_weight)) +
geom_bar(stat = "identity", position = "dodge")
The problem with your original approach is that as you have several values of weight for one group, sex combination and then specify stat="identity"
, they are plotted on top of each other. 原始方法的问题在于,由于一组有多个权重值,性别组合,然后指定
stat="identity"
,因此它们会相互绘制。 This can be visualized: 可以看到:
ggplot(df, aes(x = group, fill = sex, y = weight)) +
geom_bar(stat = "identity", position = "dodge", color = "black", alpha = 0.5)
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