如何在R中创建群集柱形图? [英] How to create cluster column chart in R?

问题描述

我需要在4个组中绘制2个类别的比率，以便进行易于理解的比较.

I need to plot the ratios of 2 categories over 4 groups in order of a nice easy understandable comparison.

到目前为止，我这样做了，得到了2个地块:

i did this so far and got 2 plots:

x <- c(0.50, 0.53, 0.49, 0.47)
names(x) <- c("Mütter über Söhne", "Mütter über Töchter", "Väter über Söhne", 
              "Väter über Töchter")
barplot(x, xlab= "Gruppe", ylab = "Anteil Wörter abstrakt-logisch ", main = 
        "abstrakt-logisch")

x1 <- c(0.51, 0.54, 0.46, 0.49)
names(x1) <- c("Mütter über Söhne", "Mütter über Töchter", "Väter über Söhne", "Väter über Töchter")
barplot(x1, xlab= "Gruppe", ylab = "Anteil Wörter kreativ-verbal ", main = "kreativ-verbal")

我想比较4组中2个类别中单词的比率.因此，在MütterüberSöhne"组中，类别1的第一比率(0.50)与类别2的第一比率(0.51)相比较.我还需要为x轴=组"和y轴=单词的比率"命名.它应该看起来像这样:

I want to compare the ratios of words in 2 categories over 4 groups. so first ratio from category 1 (0.50) compared to first ratio of category 2 (0.51) over the group "Mütter über Söhne". i also need a naming for x-axis = "groups" and y-axis = "ratios of words". it should look something like that:

有人可以帮我吗?

推荐答案

这是您的正确答案.您需要首先以适当的方式定义数据集:

Here is the correct answer of yours. You need to first define your dataset in a proper way:

dt<-data.frame(
  group= c("Mütter über Söhne", "Mütter über Töchter", "Väter über Söhne", "Väter über Töchter"),
  category=c("category1","category1","category1","category1",    "category2","category2","category2","category2"),
  ratio= c(0.50, 0.53, 0.49, 0.47,  0.51, 0.54, 0.46, 0.49))

head(dt)

然后使用ggplot绘制

And then use the ggplot to draw it

    library(ggplot2)


ggplot(data=dt, aes(x=group, y=ratio, fill=category)) +
  geom_bar(stat="identity", position=position_dodge())+
  scale_fill_brewer(palette="Paired")+                #Remove background
  theme(axis.line = element_line(colour = "black"),
        panel.grid.major = element_blank(),
        panel.grid.minor = element_blank(),
        panel.border = element_blank(),
        panel.background = element_blank())

最后的输出是:

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