1

我正在绘制这个数据集'ds'

ds <- structure(list(FN = structure(c(1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 
                            3L, 4L, 4L, 4L, 1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L, 
                            1L, 1L, 1L, 2L, 2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L, 1L, 1L, 1L, 2L, 
                            2L, 2L, 3L, 3L, 3L, 4L, 4L, 4L), .Label = c("FN=1", "FN=2", "FN=3", 
                            "FN=4"), class = "factor"), fraction = structure(c(1L, 1L, 1L, 
                            1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
                            1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 
                            2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("serum", 
                            "plasma"), class = "factor"), demographics = structure(c(1L, 
                            1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 
                            2L, 2L, 2L, 2L, 2L, 2L, 2L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 1L, 
                            1L, 1L, 1L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L, 2L), .Label = c("not adjusted", 
                            "adjusted"), class = "factor"), freq = c(132, 47, 14, 30, 29, 
                    19, 25, 14, 9, 5, 4, 4, 24, 21, 15, 6, 6, 5, 4, 4, 2, 2, 2, 2, 
                    35, 28, 25, 68, 24, 11, 33, 15, 10, 12, 11, 8, 24, 16, 15, 13, 
                    10, 6, 7, 6, 5, 4, 3, 3)), .Names = c("FN", "fraction", "demographics", 
            "freq"), class = "data.frame", row.names = c(NA, -48L))

使用这个 ggplot 代码

ggplot(ds, aes(x=fraction, y=freq, fill=factor(demographics, c("adjusted", "not adjusted")))) + 
    geom_bar(position=position_dodge(width=0.9), stat="identity", color="black") + 
    facet_grid(FN~., switch="y") + 
    scale_fill_manual("", values=c("not adjusted"="#e41a1c", "adjusted"="#377eb8"), guide=guide_legend(reverse = TRUE)) + 
    theme_bw() + 
    theme(legend.title=element_blank(), legend.position="bottom") + 
    theme(axis.title.x=element_text(face="bold")) + 
    theme(axis.title.y=element_blank()) + 
    theme(axis.ticks=element_blank()) + 
    theme(panel.background=element_blank()) + 
    theme(panel.grid=element_blank()) + 
    theme(strip.text.y = element_text(angle=180)) + coord_flip()

返回此结果

在此处输入图像描述

如您所见，每个 x 变量“分数”（血清/血浆）和填充类别“人口统计”（未调整/调整）堆叠三个条形图。但是，我希望并排绘制每个填充类别人口统计数据的这三个条形图。这甚至可能吗？

非常感谢您的帮助！

4

2 回答 2

2

添加单个分组变量

library("tidyverse")
ds %>% mutate(row = row_number()) %>% 
ggplot(aes(x=fraction, y=freq, fill=factor(demographics, c("adjusted", "not adjusted")), group = row)) + 
  geom_bar(position=position_dodge(width=0.9), stat="identity", color="black") + 
  facet_grid(FN~., switch="y") + 
  scale_fill_manual("", values=c("not adjusted"="#e41a1c", "adjusted"="#377eb8"), guide=guide_legend(reverse = TRUE)) + 
  theme_bw() + 
  theme(legend.title=element_blank(), legend.position="bottom") + 
  theme(axis.title.x=element_text(face="bold")) + 
  theme(axis.title.y=element_blank()) + 
  theme(axis.ticks=element_blank()) + 
  theme(panel.background=element_blank()) + 
  theme(panel.grid=element_blank()) + 
  theme(strip.text.y = element_text(angle=180)) + 
  coord_flip()

在此处输入图像描述

于 2017-07-29T12:19:48.877 回答
1

现在，列被躲过了demographics，但如果你再添加一个审美（内部aes()函数）group=freq，ggplot 将分别躲避每个栏。因此，您的代码应为：

ggplot(ds, aes(x=fraction, y=freq, group=freq, fill=factor(demographics, c("adjusted", "not adjusted")))) + 
  geom_bar(position=position_dodge(width=0.9), stat="identity", color="black") + 
  facet_grid(FN~., switch="y") + 
  scale_fill_manual("", values=c("not adjusted"="#e41a1c", "adjusted"="#377eb8"), guide=guide_legend(reverse = TRUE)) + 
  theme_bw() + 
  theme(legend.title=element_blank(), legend.position="bottom") + 
  theme(axis.title.x=element_text(face="bold")) + 
  theme(axis.title.y=element_blank()) + 
  theme(axis.ticks=element_blank()) + 
  theme(panel.background=element_blank()) + 
  theme(panel.grid=element_blank()) + 
  theme(strip.text.y = element_text(angle=180)) + coord_flip()

看起来像： 图表

于 2017-07-29T12:26:04.597 回答