在facet_wrap中设置“空间”,就像在facet_grid中一样

9rnv2umw  于 2023-02-17  发布在  其他
关注(0)|答案(3)|浏览(145)

我需要不同宽度的刻面;左图显示了一个实验的动态范围,右图显示了测试条件。2有没有办法让facet_wrap同时拥有自由的x和y尺度?3在facet_grid中是可能的,但即使scale=“free”,也有一个固定的y尺度。4 facet_wrap允许自由的y尺度,但x尺度似乎是固定的。5几年前,谷歌的一个页面上也贴出了同样的问题,但答案并不令人满意。
抱歉,如果这是一个重复在这里太;任何帮助都将不胜感激!

mdf <- read.table(text="
   strain val     type
1       1 0.0000  sample
2       1 0.0140  sample
3       1 0.0175  sample
4       2 0.0025  sample
5       2 0.0260  sample
6       2 0.0105  sample
7       3 0.0190  sample
8       3 0.0725  sample
9       3 0.0390  sample
10      4 0.0560  sample
11      4 0.0695  sample
12      4 0.0605  sample
13      5 0.0735  sample
14      5 0.1065  sample
15      5 0.0890  sample
16      6 0.1135  sample
17      6 0.2105  sample
18      6 0.1410  sample
19      7 0.1360  sample
20      7 0.2610  sample
21      7 0.1740  sample
22      8 0.3850 control
23      8 0.7580 control
24      8 0.5230 control
25      9 0.5230 control
26      9 0.5860 control
27      9 0.7240 control")

library(ggplot2)

p<-ggplot(mdf, aes(reorder(strain, val), val))+
  labs(x="Strain", y="intensity")+
  geom_boxplot()+
  geom_point()+
  facet_grid(~type, scales ="free", space="free_x")
p
##  free x, fixed y.  why?

q<-ggplot(mdf, aes(reorder(strain, val), val))+
  labs(x="Strain", y="intensity")+
  geom_boxplot()+
  geom_point()+
  facet_wrap(~type, scales ="free")
q
##  free y, fixed x.  why?
wgx48brx

wgx48brx1#

我不能绝对肯定,但我认为答案是否定的-使用ggplot 2命令。我也不认为这是一个好主意,因为对于读者来说,y轴上的刻度不同可能并不明显。不过,如果您必须要绘图,您可以使用ggplot grob布局调整q绘图面板的宽度。注意,第一个面板有两个x值,第二个面板有七个x值,因此将面板的默认宽度分别更改为2null和7 null。

编辑:更新到ggplot 2 2.2.0

library(ggplot2)
library(grid)
# get mdf data frame from the question

# Your q plot
q <- ggplot(mdf, aes(factor(strain), val)) +
  labs(x = "Strain", y = "intensity") +
  geom_boxplot() +
  geom_point() +
  facet_wrap( ~ type, scales = "free")
q

# Get the ggplot grob
gt = ggplotGrob(q)

# Check for the widths - you need to change the two that are set to 1null
gt$widths
# The required widths are 4 and 8

# Replace the default widths with relative widths:
gt$widths[4] = unit(2, "null")
gt$widths[8] = unit(7, "null")

# Draw the plot
grid.newpage()
grid.draw(gt)

# I think it is better to have some extra space between the two panels
gt$widths[5] = unit(1, "cm")
grid.newpage()
grid.draw(gt)

或者,用R来确定相对宽度和面板。

gt = ggplotGrob(q)

# From 'dfm', get the number of 'strain' for each 'type'.
# That is, the number x-breaks in each panel.
library(dplyr)
N <- mdf %>% group_by(type) %>% 
     summarise(count = length(unique(strain))) %>% 
     `[[`(2)

# Get the column index in the gt layout corresponding to the panels.
panelI <- gt$layout$l[grepl("panel", gt$layout$name)]

# Replace the default panel widths with relative heights.
gt$widths[panelI] <- unit(N, "null")

# Add extra width between panels (assuming two panels)
gt$widths[panelI[1] + 1] = unit(1, "cm")

## Draw gt
grid.newpage()
grid.draw(gt)

ttygqcqt

ttygqcqt2#

另外,对于那些试图将@桑迪的答案与dplyr结合使用的人:

library(dplyr)
N<-mdf%>% group_by(type)%>% summarise(count = length(unique(strain)))

# Get the column index in the gt layout corresponding to the panels.
panelI <- gt$layout$l[grepl("panel", gt$layout$name)]

# Replace the default panel widths with relative heights.
gt$widths[panelI] <- lapply(N$count, unit, "null")
ehxuflar

ehxuflar3#

这可以通过ggh4x::facet_grid2实现

ggplot(mdf, aes(reorder(strain, val), val))+
  labs(x="Strain", y="intensity")+
  geom_boxplot()+
  geom_point()+
  ggh4x::facet_grid2(~type, scales ="free", space="free_x", independent = "y")

创建于2023年2月11日,使用reprex v2.0.2

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