Question

我正在绘制此数据集＆＃39; ds＆＃39;

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))

使用此ggplot-code

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

正如您所看到的，每个x-variable＆＃39; fraction＆＃39;堆积有三个条形图。（血清/血浆）和填充类别的人口统计数据＆＃39; （未调整/调整）。但是，我希望每个填充类别的人口统计数据并排绘制这三个条形图。这甚至可能吗？

非常感谢您的帮助！

Answer 1

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()

Answer 2

现在列在demographics之间，但是如果再添加一个aestetic（在aes()函数内）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()

看起来像是这样的：

GGPLOT刻面的条形图：多个＆＃34;躲闪＆＃34;每个填充类别的酒吧？

2 个答案: