ggplot:geom_bar堆叠顺序和标签

时间:2017-04-22 06:26:55

标签: ggplot2 stacked-chart

我正在使用ggplot绘制以下数据:

df<- data.frame(name= c("g1","g1","p1","p1"),fc = c(-1.32,-2.11,-1.17,-3.23),fdr = c(.0001,.0001,.07,.0002),cond= c("2v1","3v1","2v1","3v1"))


head(df)
name    fc   fdr cond
 g1  -1.32 .0001 2v1
 g1  -2.11 .0001 3v1
 p1  -1.17   .07 2v1
 p1  -3.23 .0002 3v1

使用ggplot代码:

df$name<- as.factor(df$name)
df$name <- relevel(df$name, as.character(df$name[3]))

ggplot(df, aes(name,fc), group=variable)+
geom_col(aes(fill=factor(as.numeric(fdr)<0.05)), width = 0.98,color="white")+
coord_flip()+scale_fill_manual(values = c("FALSE"= "#00BFC4","TRUE"= "#F8766D"))+
geom_hline(yintercept = 0, colour = "gray" )+
geom_text(aes(label=round(fc,2)),angle = 90, position = position_stack(vjust = 0.5), size =3.5, color= "white")

导致这个情节: enter image description here

p1的图表似乎被翻转,其中-1.17的栏位于顶部,而标签仍位于底部。我希望灰色的条形图位于底部,标签为&#34; 1.17&#34;在它的中间。 我将不胜感激任何帮助。谢谢

1 个答案:

答案 0 :(得分:1)

我建议尽可能多地在data.frame中设置绘图特征。这将有助于将aes从一层保持到另一层。

library(ggplot2)
library(dplyr)

df <- data.frame(name = c( "g1",  "g1",  "p1",  "p1"), 
                 fc   = c(-1.32, -2.11, -1.17, -3.23), 
                 fdr  = c(.0001, .0001,   .07, .0002), 
                 cond = c("2v1", "3v1", "2v1", "3v1"))

# use dplyr to set the name and fill factors
# use the group_by to generate the cumsum for defining where the label should be
# located.
df <-
  df %>%
  dplyr::mutate(name = factor(name, levels = c("p1", "g1")),
                fill = factor(fdr < 0.05, c(TRUE, FALSE), c("fdr < 0.05", "fdr >= 0.05"))) %>%
  dplyr::group_by(name) %>%
  dplyr::mutate(text_y = -cumsum(-fc)) %>%
  dplyr::ungroup()

# the plot
ggplot(df) +
  aes(x = name, y = fc, fill = fill) + 
  geom_col(width = 0.98, color="white") +
  coord_flip() +
  geom_hline(yintercept = 0, colour = "gray" ) +
  geom_text(mapping  = aes(y = text_y, label = round(fc, 2)),
            angle    = 90,
            color    = "white",
            position = position_stack(vjust = 0.5),
            size     = 3.5,
            color    = "white")

enter image description here