我需要不同宽度的构面;左图显示了实验的动态范围,右图显示了测试条件。有没有办法用facet_wrap同时拥有免费的x和y缩放比例?在facet_grid中是可能的,但是即使使用scale =“free”,也存在固定的y缩放比例。 facet_wrap允许自由使用y比例尺,但x比例尺似乎是固定的。几年前,一个相同的问题也发布在了Google页面上,但答案并不令人满意。
https://groups.google.com/forum/#!topic/ggplot2/1RwkCcTRBAw
很抱歉,如果这也是重复的话;任何帮助将不胜感激!
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?
最佳答案
我不能绝对确定,但我认为答案是否定的-使用ggplot2命令。我也不认为这是一个好主意,因为y轴上的刻度不同对读者而言可能并不明显。不过,如果您必须具有绘图,则可以使用ggplot grob布局来调整q绘图的面板宽度。请注意,第一个面板具有两个x值,第二个面板具有七个x值。因此,将面板的默认宽度分别更改为2null和7null。
编辑:更新至ggplot2 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,使R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)