如何在 ggtern 中显示数据的真实值 (%)？

我希望得到与下例所示大致相同的结果。我在这两个函数之间犹豫是否要得到这个结果：geom_crosshair_tern and scale_X_continuous.

汉密尔顿，NE，和费里，M.（2018）。 ggtern：使用 ggplot2 的三元图。统计软件杂志，87(1), 1-17。 https://doi.org/10.18637/jss.v087.c03 https://i.stack.imgur.com/ksNpV.png

这是我到目前为止编写的脚本：

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)

这是我得到的geom_crosshair_tern，但我有两个问题：

1. 我不知道如何显示我的数据的真实价值；
2. 我不知道如何将我的观点置于geom_crosshair_tern.

Is the scale_X_continuous功能比较合适？我尝试了以下脚本，但没有成功。

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")

更正将点放置在 geom_crosshair_tern 上方的第二个问题，您需要通过从 geom_crosshair_tern 开始然后是点来重新排列几何图形的顺序。 要在三角形之外打印，您需要添加theme_nomask到绘图调用，那么这是一个玩弄的问题vjust and hjust以便正确放置标签。

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)