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Home/ Questions/Q 7980563
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Editorial Team
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Editorial Team
Asked: June 4, 20262026-06-04T10:06:48+00:00 2026-06-04T10:06:48+00:00

I’m looking to plot something similar to this in R. Can this be this

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I’m looking to plot something similar to this in R. Can this be this be done with ggplot or some other package?

Trajectory Tree

Found on the following blog:

http://intelligenttradingtech.blogspot.com/2011/07/pattern-recognition-forward-boxplot.html

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1 Answer

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  1. Editorial Team
    Editorial Team
    2026-06-04T10:06:52+00:00Added an answer on June 4, 2026 at 10:06 am

    Here is how to construct the graph using ggplot2.

    enter image description here

    I constructed the data manually, by specifying the coordinates of each line start and end position. An improvement would obviously be to automate this using an algorithm. Since this wasn’t the question, I didn’t attempt to solve this too.

    Create the data:

    arrowdata <- c(
      0, 0, 1, 0,
      1, 1, 2, 1,
      1, -1, 2, -1,
      2, 1.5, 3, 1.5,
      2, 0.5, 3, 0.5
    )
    
    linesdata <- c(
      1, 0, 1, 1,
      1, 0, 1, -1,
      2, 1, 2, 1.5,
      2, 1, 2, 0.5
    )
    
    labeldata <- data.frame(
      x = c(0.5, 1.5, 2.5),
      y = c(0, 1, 1.5),
      labels=c("Label 1", "Label2", "Label 3")
    )
    
    adat <- as.data.frame(matrix(arrowdata, ncol=4, byrow=TRUE))
    ldat <- as.data.frame(matrix(linesdata, ncol=4, byrow=TRUE))
    

    Load the ggplot2 and grid packages, then plot:

    library(ggplot2)
    library(grid) # For arrow() function
    ggplot() + 
      geom_segment(
        data=adat, 
        aes(x=V1, y=V2, xend=V3, yend=V4),
        arrow=arrow(length = unit(0.05, "npc"), type="closed"),
        col="blue"
      ) +
      geom_segment(
        data=ldat, 
        aes(x=V1, y=V2, xend=V3, yend=V4),
        col="blue"
      ) +
      geom_text(data=labeldata, aes(x, y, label=labels), 
        size=8, vjust=-0.2, col="blue"
      ) +
      theme_bw() +
      opts(
        axis.text.x=theme_blank(),
        axis.text.y=theme_blank(),
        axis.ticks=theme_blank(),
        axis.title.x=theme_blank(),
        axis.title.y=theme_blank(),
        panel.grid.major=theme_blank(),
        panel.border=theme_blank()
      ) +
    coord_cartesian(ylim=c(-1.5, 2)) # Create some additional space for labels
    
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