r - R - 如何选择或分离循环不规则数据的下半部分？

Question

以下是使用循环伏安法获得的数据（50 分）。我只需要分析其中的一部分：最左边到最右边之间的部分（例如，下图中从绿点到蓝点的数据）。

x <- c(-0.4982, -0.3770, -0.2545, -0.1323, -0.0096, 0.1127, 0.2353, 0.3577, 0.4802, 
  0.6024, 0.7251, 0.8470, 0.9696, 0.9109, 0.7887, 0.6662, 0.5441, 0.4213, 0.2990, 
  0.1763, 0.0541, -0.0685, -0.1906, -0.3133, -0.4356, -0.4395, -0.3172, -0.1946, 
  -0.0723, 0.0501, 0.1724, 0.2950, 0.4175, 0.5400, 0.6623, 0.7848, 0.9070, 0.9735, 
  0.8510, 0.7290, 0.6063, 0.4840, 0.3614, 0.2391, 0.1165, -0.0090, -0.1316, -0.2539, 
  -0.3765)

y <- c(-3.24903226, -1.26193548, -0.51612903, -0.09741935, 0.21161290, 0.45870968, 
    0.69096774, 1.26387097, 4.03225806, 4.77806452, 4.55677419, 3.88129032, 
    3.36645161, 2.23677419, 1.37741935, 0.74516129, 0.22645161, -0.23161290, 
    -0.74129032, -1.66387097, -3.84709677, -6.11225806, -7.21741935, -6.37548387, 
    -4.11225806, -1.88516129, -0.78967742, -0.24709677, 0.08774194, 0.35096774, 
    0.57612903, 0.90193548, 2.16322581, 4.85935484, 5.02387097, 4.33870968, 
    3.66258065, 2.88645161, 1.77870968, 1.06000000, 0.48451613, 0.00193548, 
    -0.46193548, -1.10967742,    -2.53161290, -5.13741935, -6.94903226, -7.14387097, 
    -5.36580645)

该图像显示了完整的数据集（黑线）。点是x和y样本数据。当然，我不能简单地y对最左边的 x 进行切片，y[y < y[which.min(x)]]因为我会丢失几乎一半的我想要的数据。

任何想法？谢谢

Answer 1

取 x 减少的点会起作用吗？

x2 =  x[x < lag(x) | x > lead(x)]
y2 =  y[x < lag(x) | x > lead(x)]
plot(x2, y2)

df <- data.frame(x, y)
df2 <- data.frame(x = x[x < lag(x) | x > lead(x)],
                  y = y[x < lag(x) | x > lead(x)])  # edit added lead to get right edge
library(ggplot2)
ggplot(df, aes(x, y)) + 
  geom_point() +
  geom_path() +
  geom_point(data = df2, color = "red", size = 3)