ggplot2翻转的y轴杆没有显示正确的设置限制

Question

我试图在ggplot2中绘制一个分类x轴变量的连续y轴值(然后翻转它们)，但是我的y轴值没有显示。

这是我的数据集：

                              AIC.means   AIC.lci   AIC.uci
Sparse Dual Stream            -4632.137 -4655.353 -4608.922
Heterogeneous Dual Stream A   -4627.653 -4650.866 -4604.439
Heterogeneous Dual Stream B   -4622.063 -4645.194 -4598.932
Dense Dual Stream             -4616.507 -4639.633 -4593.381
Radical Storage               -4615.934 -4639.052 -4592.817
Radical Sparse Comp.          -4601.292 -4624.428 -4578.156
Radical Heterogeneous Comp. B -4600.650 -4623.785 -4577.515
Radical Dense Comp.           -4589.490 -4612.632 -4566.348
Radical Heterogeneous Comp. A -4587.993 -4611.141 -4564.845

这是我制作的情节和情节的代码。

ggplot(AIC.plotdata, aes(x=row.names(AIC.plotdata), y=AIC.means)) +
  geom_bar(aes(), stat="identity") +
  scale_y_continuous(limits = c(-4700, -4500)) +
  coord_flip()

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我将y轴的限值设置在最小和最大值之上，如下所示。因此，y轴标签的缺失不可能是由于它们偏离了轴的范围。

summary(AIC.plotdata$AIC.means)
   Min. 1st Qu.  Median    Mean 3rd Qu.    Max. 
  -4632   -4622   -4616   -4610   -4601   -4588 

这就是我试图在ggplot2中得到的，但是使用lattice获得的( AIC值按排序顺序显示，我还需要为‘m图找出这个顺序)。

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我很感谢你的帮助！

Answer 1

使用geom_segement并在ggplot调用中转移数据如何？有关类似的bar baseline to 1 instead of zero，请参阅此问题

ggplot(df) +
  geom_segment(aes(x=rownames, xend=rownames, y=-4700, yend=AIC.means), size = 10) + 
  scale_y_continuous(limits = c(-4700, -4500)) +
  coord_flip()

​

​

数据：

df <- structure(list(rownames = c("Sparse Dual Stream", "Heterogeneous Dual Stream A", 
"Heterogeneous Dual Stream B", "Dense Dual Stream", "Radical Storage", 
"Radical Sparse Comp.", "Radical Heterogeneous Comp. B", "Radical Dense Comp.", 
"Radical Heterogeneous Comp. A"), AIC.means = c(-4632.137, -4627.653, 
-4622.063, -4616.507, -4615.934, -4601.292, -4600.65, -4589.49, 
-4587.993), AIC.lci = c(-4655.353, -4650.866, -4645.194, -4639.633, 
-4639.052, -4624.428, -4623.785, -4612.632, -4611.141), AIC.uci = c(-4608.922, 
-4604.439, -4598.932, -4593.381, -4592.817, -4578.156, -4577.515, 
-4566.348, -4564.845)), .Names = c("rownames", "AIC.means", "AIC.lci", 
"AIC.uci"), row.names = c(NA, -9L), class = "data.frame")