R ggplot2：具有多个分类变量的复杂堆叠条形图

Question

我在R中的数据集如下所示：

a <- c("M","F","F","F","M","M","F","F","F","M","F","F","M","M","F")
p <- c("P","P","W","W","P","P","W","W","W","W","P","P","P","W","W")
y1 <- c("yes","yes","null","no","no","no","yes","null","no","yes","yes","yes","null","no","no")
y2 <- c("yes","null","no","no","no","yes","yes","yes","null","no","yes","null","no","yes","yes")
y3 <- c("no","no","no","yes","null","yes","null","no","no","no","yes","yes","null","no","no")
VE <- data.frame(gender = a,
             type = p,
             y1 = y1,
             y2 = y2,
             y3 = y3)

我想创建一个如下所示的条形图： ideal bar chart

我想了解图表还有很长的路要走：

q<-data.frame(gender=VE$gender,
          year=rep("y1",15),
          group=VE$y1)
p<-data.frame(gender=VE$gender,
          year=rep("y2",15),
          group=VE$y2)
x<-data.frame(gender=VE$gender,
          year=rep("y3",15),
          group=VE$y3)
Table<-rbind(q,p,x)
ggplot(Table, aes(year)) + geom_bar(aes(fill=group), position = "stack") + facet_grid(gender~.)

有没有更好的方法来获得条形图？ （因为我本来打算处理3,000,000个每个都有32个变量的观察） 请给我一些这个条形图的帮助。干杯！

Answer 1

首先，您可以融化data.frame以获得“长”格式。为此，我创建了一个ID变量，将3个变量'y1，'y2'和'y3'组合成一个变量。 然后，您可以使用geom_bar()并使用x，如果没有提供y审美，则会计算library(ggplot2) # create data frame df <- data.frame(ID = 1:15, gender = c('M', 'F', 'F', 'F', 'M', 'M', 'F', 'F', 'F', 'M', 'F', 'F', 'M', 'M', 'F'), type = toupper(c('p', 'p', 'w', 'w', 'p', 'p', 'w', 'w', 'w', 'w', 'p', 'p', 'p', 'W', 'W')), y1 = c('yes', 'yes', 'null', 'no', 'no', 'no', 'yes', 'null', 'no', 'yes', 'yes', 'yes', 'null', 'no', 'no'), y2 = c('yes', 'null', 'no', 'no', 'no', 'yes', 'yes', 'yes', 'null', 'no', 'yes', 'null', 'no', 'yes', 'yes'), y3 = c('no', 'no', 'no', 'yes', 'null', 'yes', 'null', 'no', 'no', 'no', 'yes', 'yes', 'null', 'no', 'no'), stringsAsFactors = TRUE) # melt data frame to long format df_melt <- data.table::melt(df[, c(1, 4:6)], id.vars = "ID") # set correct levels for factor (needed for the legend) df_melt$value <- factor(df_melt$value, levels = c("yes", "no", "null")) # add ggplot ggplot(data = df_melt) + geom_bar(aes(x = variable, fill = value, colour = value)) + ylab("count") + xlab("year") 美学中的值。

class Organization(models.Model):
    name = models.CharField(max_length=100, blank=True, null=True)
    ...

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