Question

我希望获得与以下示例所示大致相同的结果。我在这两个函数之间犹豫不决：geom_crosshair_tern和scale_X_continuous。

Hamilton, N. E., & Ferry, M. (2018). ggtern: Ternary Diagrams Using ggplot2. Journal of Statistical Software, 87(1), 1‑17. https://doi.org/10.18637/jss.v087.c03

这是我到目前为止所写的脚本：

points1 <- data.frame(
            rbind(c( 1,45,30,25),
                  c( 2,33,33,34),
                  c( 3,15,75,10)
            )
          )
colnames(points1) = c("IDPoint","X","Y","Z")

#geom_crosshair_tern version
base1 = ggtern(data=points1,aes(X,Y,Z)) +
  theme_bw() +
  tern_limits(labels=c(20,40,60,80,100), breaks=seq(0.2,1,by=0.2)) +
  theme_clockwise() +
  theme_showarrows() +
  labs(title  = "Test",Tarrow = "% X",Larrow = "% Y",Rarrow = "% Z") +
  theme(tern.axis.arrow=element_line(size=1,color="black")) +
  geom_point(shape=21,size=5,col="black",bg="slategray1") +
  geom_text(aes(label=IDPoint),color="black") +
  geom_crosshair_tern(lty=2)

geom_crosshair_tern可以给我带来什么，但是我有两个问题：

我不知道如何显示数据的真实值；
我不知道如何将自己的观点放在geom_crosshair_tern之上。

scale_X_continuous函数更合适吗？我尝试以下脚本失败。

points1 <- data.frame(
            rbind(c( 1,45,30,25),
                  c( 2,33,33,34),
                  c( 3,15,75,10)
            )
          )
colnames(points1) = c("IDPoint","X","Y","Z")

labFnc <- function(x,digits=2) format(round(unique(x),digits),digits=digits)

base1 = ggtern(data=points1,aes(X,Y,Z)) +
  scale_T_continuous(breaks=unique(points1$y),labels=labFnc(points1$y)+
  scale_L_continuous(breaks=unique(points1$x),labels=labFnc(points1$x)+
  scale_R_continuous(breaks=unique(points1$z),labels=labFnc(points1$z)+
  theme_bw() +
  tern_limits(labels=c(20,40,60,80,100), breaks=seq(0.2,1,by=0.2)) +
  theme_clockwise() +
  theme_showarrows() +
  labs(title  = "Test",Tarrow = "% X",Larrow = "% Y",Rarrow = "% Z") +
  theme(tern.axis.arrow=element_line(size=1,color="black")) +
  geom_point(shape=21,size=5,col="black",bg="slategray1") +
  geom_text(aes(label=IDPoint),color="black")

Answer 1

这是另一种方法：

#Duplicate Original Data Frame
df = points1

#New Data frame
#NEW Variable to be used in text label
df$label = apply(df,1,function(row){
  sprintf("[%s,%s,%s]",row[2],row[3],row[4])
})

#NEW Color Variable to be mapped
df$color = as.factor(df$IDPoint)

#NEW Fill Variable to be mapped
df$fill  = as.factor(df$IDPoint)

#geom_crosshair_tern version
base2 = ggtern(data=df,aes(X,Y,Z,color=color,fill=fill)) + ## << color and fill global mappings
  theme_bw() +
  tern_limits(labels=c(20,40,60,80,100), breaks=seq(0.2,1,by=0.2)) +
  theme_clockwise() +
  theme_showarrows() +
  labs(title  = "Test",Tarrow = "% X",Larrow = "% Y",Rarrow = "% Z") +
  theme(tern.axis.arrow=element_line(size=1,color="black")) +

  geom_crosshair_tern(lty=2) +  ## <<< Order brought forward, so that the crosshair is under the points

  geom_point(shape=21,size=5,color='black') + ## << Black border on points
  geom_text(aes(label=IDPoint),color="black") +
  geom_text(aes(label=IDPoint),color="black") +

  geom_text(aes(label=sprintf("   %s",label)),size=3,hjust=0) + ## << NEW Text Geometry

  guides(fill='none',color='none') ## << Turn off legends for colour/fill

print(base2)

Answer 2

纠正将点放置在geom_crosshair_tern上方的第二个问题，您需要通过从geom_crosshair_tern然后是点开始重新排列几何的顺序。要在三角形外部打印，您需要在绘图调用中添加theme_nomask，然后通过vjust和hjust来进行正确的标签放置。

library(ggtern)

points1 <- data.frame(
  rbind(c( 1,45,30,25),
        c( 2,33,33,34),
        c( 3,15,75,10)
  )
)
colnames(points1) = c("IDPoint","X","Y","Z")

labFnc <- function(x,digits=2) format(round(unique(x),digits),digits=digits)

#geom_crosshair_tern version


base2 = ggtern(data=points1,aes(X,Y,Z)) +
  theme_bw() +
  geom_crosshair_tern(lty=2)+
  tern_limits(labels=c(20,40,60,80,100), breaks=seq(0.2,1,by=0.2)) +
  theme_clockwise() +
  theme_showarrows() +
  theme_nomask() + 
  labs(title  = "Test",Tarrow = "% Y",Larrow = "% X",Rarrow = "% Z") +
  theme(tern.axis.arrow=element_line(size=1,color="black")) +
  geom_point(shape=21,size=5,col="black",bg="slategray1") +
  geom_text(aes(label=IDPoint), color="black") +
    annotate(geom  = 'text',
                x     = points1$X,
                y     = c(0),
                z     = 100-points1$X,
                vjust = c(-0., -0., -0.),
                hjust = c(-0.25, -0.25, -0.25),
                angle = c(-60,-60,-60),
                label = paste("X=",points1$X)) +
    annotate(geom  = 'text',
           x     = 100-points1$Y,
           y     = points1$Y,
           z     = c(0),
           vjust = c(+0.25, 0.25, 0.25),
           hjust = c(1, +1, 1),
           label = paste("Y=",points1$Y)) +
    annotate(geom  = 'text',
           x     = c(0), 
           y     = 100-points1$Z,
           z     = points1$Z,
           vjust = c(+0.3, 0.3, 0.3),
           hjust = c(-0.25, -0.25, -0.25),
           angle = c(60,60,60),
           label = paste("Z=",points1$Z))  

print(base2)

如何在ggtern中显示数据的实际值（％）？

2 个答案: