R GGPLOT平面条形图：多个“；回避；每种填充类型的钢筋？

我正在绘制此数据集“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))

返回这个结果

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）有三个条形图。但是，我希望每个填充类别的这三个条形图可以并排绘制。这可能吗

---

非常感谢你的帮助

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() 

---

现在，在

人口统计数据中，列被减淡，但如果您再添加一个aestetic（在
aes（）
函数中）
group=freq
ggplot将分别减淡每个条。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() 

这看起来像：
感谢您快速准确的回答。还有一个问题，你知道我如何改变条形图的顺序，使“红色的”（未调整）在“蓝色的”之前/之上绘制吗？在
scale\u fill\u manual
so
scale\u fill\u manual（“，values=c”（“调整的”=“\377eb8”，“未调整的”=“\e41a1c”）中，首先放置你想要的那个…
听起来似乎有道理，但是，这对我不起作用。可能是因为翻转了绘图？请尝试Forcats中的fct_reorder（）。这对当前数据集有效，但如果同一组中的两行具有相同的freq值，它将失败
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()