Point of intersection in ggplot2

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悲&欢浪女
悲&欢浪女 2021-01-23 08:40

I need to find the intersection points between two curves I have plotted in ggplot2.

This is my code:

ggplot(Table1, aes(x=10^H4,y=10^H5, c         


        
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  • 2021-01-23 09:18

    We could use the approxfun() function, which does linear interpolation. We use the difference between the two curves (or between the set of data points) and then find the approximate value in the x-axis that makes the difference or value in y equal to 0.

    #Finding the x value in the log10 scale
    
    f1 <- approxfun(10^Table1$H5 - 10^Table1$H6,Table1$H4, rule=2)
    
    f1(0)
    [1] 4.516067
    
    x11(); ggplot(Table1, aes(x=10^H4,y=10^H5, colour = "blabla")) + 
      geom_line(size=1)  + coord_cartesian(xlim=c(100,1000000000))+
     coord_cartesian(ylim=c(0.000000000001,1)) +  xlab("blabla")+
     ylab("blabla")  + ggtitle("blabla")+
    scale_y_log10(breaks=c(0.000000000001, 0.000000001, 0.000001, 0.001)
    , labels = trans_format("log10", math_format(10^.x)))+
     scale_x_log10(breaks=c(100,1000,10000,100000,1000000,10000000,100000000,1000000000)   
     , labels = trans_format("log10", math_format(10^.x))) + 
      geom_line(data=Table1,aes(10^H4,10^H6, colour = "blabla1"))+ 
      scale_color_manual("", values =c("blabla"="blue", "blabla1" = "red")
    , labels=c("blabla","blabla1"))+
    geom_vline(xintercept=10^ f1(0)) # adding the verical line
    

    Data:

    structure(list(H4 = c(2, 2.1, 2.2, 2.3, 2.4, 2.5, 2.6, 2.7, 2.8, 
    2.9, 3, 3.1, 3.2, 3.3, 3.4, 3.5, 3.6, 3.7, 3.8, 3.9, 4, 4.1, 
    4.2, 4.3, 4.4, 4.5, 4.6, 4.7, 4.8, 4.9, 5, 5.1, 5.2, 5.3, 5.4, 
    5.5, 5.6, 5.7, 5.8, 5.9, 6, 6.1, 6.2, 6.3, 6.4, 6.5, 6.6, 6.7, 
    6.8, 6.9, 7, 7.1, 7.2, 7.3, 7.4, 7.5, 7.6, 7.7, 7.8, 7.9, 8, 
    8.1, 8.2, 8.3, 8.4, 8.5, 8.6, 8.7, 8.8, 8.9, 9), H5 = c(-8.979, 
    -8.927, -8.877, -8.829, -8.782, -8.736, -8.691, -8.648, -8.606, 
    -8.565, -8.525, -8.485, -8.445, -8.405, -8.364, -8.323, -8.282, 
    -8.241, -8.2, -8.159, -8.116, -8.064, -7.982, -7.826, -7.592, 
    -7.333, -7.101, -6.91, -6.759, -6.64, -6.543, -6.461, -6.387, 
    -6.321, -6.264, -6.218, -6.182, -6.155, -6.132, -6.117, -6.111, 
    -6.12, -6.23, -6.433, -6.574, -6.664, -6.712, -6.726, -6.722, 
    -6.707, -6.704, -6.748, -6.82, -6.864, -6.872, -6.859, -6.83, 
    -6.796, -6.757, -6.717, -6.678, -6.636, -6.594, -6.549, -6.502, 
    -6.454, -6.402, -6.349, -6.295, -6.238, -6.179), H6 = c(-5.116, 
    -5.31, -5.495, -5.669, -5.823, -5.958, -6.075, -6.179, -6.271, 
    -6.355, -6.433, -6.506, -6.575, -6.642, -6.707, -6.769, -6.829, 
    -6.886, -6.941, -6.993, -7.044, -7.095, -7.144, -7.192, -7.237, 
    -7.28, -7.321, -7.36, -7.398, -7.435, -7.47, -7.504, -7.536, 
    -7.569, -7.602, -7.64, -7.684, -7.735, -7.789, -7.848, -7.917, 
    -8.003, -8.131, -8.312, -8.494, -8.668, -8.823, -8.963, -9.095, 
    -9.225, -9.365, -9.531, -9.711, -9.859, -9.965, -10.041, -10.098, 
    -10.141, -10.175, -10.203, -10.236, -10.263, -10.285, -10.301, 
    -10.314, -10.323, -10.33, -10.335, -10.339, -10.342, -10.344)), .Names = c("H4", 
    "H5", "H6"), row.names = c(NA, -71L), class = "data.frame")
    
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