如何在绘制分面网格时相对于另一个变量排序?

How to order one variable with respect to another while plotting a facet grid?

我有一个数据框列 'location',它是一个具有 8 个级别的因子('site01'、'site02'、'site03'、'site04' .... . 'site08') 其中每一个都有一个纬度和经度作为数据框中的其他两列。

我需要做一个分面网格并根据站点的纬度对站点进行排序。

我已经尝试对列进行排序,但它对 ggplot2 生成的绘图没有任何影响。

library(scales)
library(ggplot2)
sp <- ggplot(df, aes(x=year, y=value, col=coralType)) + geom_point(stat="identity") + facet_grid(location ~ coralType) + 
  theme(strip.text.x = element_text(size=8),
          strip.text.y = element_text(size=8, face="bold", angle = 0),
          strip.background = element_rect(colour="red", fill="#CCCCFF")) + 
  scale_x_continuous(name="Year", breaks=c(2010, 2013, 2016)) + 
  scale_y_continuous(name="Bleaching Percentage", breaks=seq(0,1,0.5), labels=percent)+
  geom_smooth(method="lm")
sp

这会生成图,但它们不是根据站点的纬度排序的。

@saksham-nagpal,在没有 minimum reproducible example 的情况下,我创建了一些虚拟数据并绘制了它。让我知道这个是否奏效。

# create some dummy data
corals<- c("red","blue","green")
df<- data.frame(siteLoc=paste0(("siteLoc"),1:6,rep("",6)),
                lat=runif(6), long=c(-2, -1, 0, 1, 2, 5),
                coralType = rep(corals,6)
                )

df$mc <- cut(df$long, c(-Inf, 0, 1, Inf), c('level 1', 'level 2', 'level 3'))

# plot the data
library(ggplot2)
plt <- ggplot(df, aes(lat,long, colour = mc)) + geom_point(stat="identity") 
plt + facet_grid(coralType ~ mc, scales="free")
sp<-plt + facet_grid(coralType ~ mc, scales="free_y")+
  theme(strip.text.x = element_text(size=8),
        strip.text.y = element_text(size=8, face="bold", angle = 0),
        strip.background = element_rect(colour="red", fill="#CCCCFF"))+
  scale_x_continuous(name="Year", breaks=c(2010, 2013, 2016)) + 
  scale_y_continuous(name="Bleaching Percentage", breaks=seq(0,1,0.5))+
  geom_smooth(method="lm")
sp

现在,如果您查看变量 coralType 级别,例如 levels(df$coralType)。它将显示为 [1] "blue" "green" "red"。假设您希望级别重新排序,例如 [1] "red" "blue" "green"。在这种情况下,您需要将因子水平重新排序为

# reorder the factors
df$reordrFactor<- factor(df$coralType, levels = c("red","blue","green"))
levels(df$reordrFactor)
[1] "red"   "blue"  "green"

所以现在,如果你绘制它,你会得到想要的结果。

# plot according to reordered factor levels
plt <- ggplot(df, aes(lat,long, colour = mc)) + geom_point(stat="identity") 
plt + facet_grid(reordrFactor ~ mc, scales="free")
sp<-plt + facet_grid(reordrFactor ~ mc, scales="free_y")+
  theme(strip.text.x = element_text(size=8),
        strip.text.y = element_text(size=8, face="bold", angle = 0),
        strip.background = element_rect(colour="red", fill="#CCCCFF"))+
  scale_x_continuous(name="Year", breaks=c(2010, 2013, 2016)) + 
  scale_y_continuous(name="Bleaching Percentage", breaks=seq(0,1,0.5))+
  geom_smooth(method="lm")
sp

希望对您有所帮助。