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我正在嘗試使用三維曲面圖來分析結果作爲輸入函數的穩定性。 z是我的結果,x和y是參數值。使用點陣的線框,我可以製作一個曲面圖沒有問題,但它具有交互性和可共享的陰謀能力。火山示例沒有顯示如何獲取x,y,z座標並製作曲面圖。任何人都知道如何簡潔地做到這一點?下面是格子線框例子和數據:三維曲面,帶有P,帶有x,y,z座標
library(lattice)
z <- c(0.035, 0.043, 0.036, 0.037, 0.016, 0.013, 0.025, 0.037, 0.039, 0.043,
0.049, 0.029, 0.025, 0.02, 0.032, 0.045, 0.049, 0.043, 0.027, 0.031,
0.028,0.039, 0.038, 0.037, 0.045, 0.046, 0.04, 0.041, 0.037, 0.048, 0.048,
0.032, 0.03, 0.032, 0.029, 0.043, 0.056, 0.057, 0.046, 0.034, 0.035,
0.026,0.036, 0.048, 0.038, 0.032, 0.034, 0.027, 0.024, 0.041, 0.05, 0.056,
0.038, 0.027, 0.034, 0.027, 0.042, 0.054, 0.054, 0.039, 0.036, 0.029,
0.027,0.04, 0.052, 0.058, 0.051, 0.028, 0.025, 0.035, 0.037, 0.053, 0.059,
0.049, 0.044, 0.035, 0.021, 0.044, 0.059, 0.054, 0.052, 0.041, 0.032,
0.036,0.039, 0.051, 0.056, 0.038, 0.04, 0.022, 0.015, 0.043, 0.054, 0.052,
0.05, 0.031, 0.03, 0.03, 0.031, 0.044, 0.051, 0.047, 0.04, 0.038,
0.037,0.06, 0.071, 0.07, 0.066, 0.038, 0.031, 0.045, 0.064, 0.065, 0.074,
0.08, 0.052, 0.048, 0.041, 0.053, 0.072, 0.079, 0.071, 0.043, 0.059, 0.05,
0.061, 0.061, 0.055, 0.069, 0.07, 0.057, 0.057, 0.055, 0.074, 0.071, 0.051,
0.048, 0.05, 0.053, 0.069, 0.086, 0.085, 0.07, 0.047, 0.05, 0.047,0.055,
0.073, 0.065, 0.056, 0.054, 0.048, 0.043, 0.063, 0.078, 0.087, 0.068, 0.047,
0.052, 0.048, 0.065, 0.085, 0.084, 0.062, 0.049, 0.05, 0.05, 0.068, 0.084,
0.095, 0.089, 0.052, 0.052, 0.062, 0.062, 0.086, 0.09, 0.078, 0.062, 0.058,
0.038, 0.068, 0.095, 0.09, 0.082, 0.069, 0.057, 0.058,0.064, 0.082, 0.087,
0.055, 0.053, 0.032, 0.033, 0.067, 0.087, 0.087, 0.079, 0.058, 0.053, 0.057,
0.047, 0.069, 0.085, 0.075, 0.068, 0.063, 0.062,0.076, 0.089, 0.095, 0.086,
0.056, 0.053, 0.063, 0.082, 0.08, 0.099, 0.101, 0.067, 0.065, 0.058, 0.066,
0.086, 0.103, 0.088, 0.051, 0.072, 0.06, 0.08, 0.078, 0.067, 0.084, 0.086,
0.067, 0.066, 0.068, 0.087, 0.087, 0.071, 0.063, 0.065, 0.067, 0.087, 0.104,
0.108, 0.086, 0.057, 0.063, 0.056,0.064, 0.087, 0.084, 0.07, 0.063, 0.061,
0.06, 0.076, 0.095, 0.11, 0.088, 0.057, 0.062, 0.067, 0.079, 0.097, 0.105,
0.079, 0.055, 0.064, 0.066,0.087, 0.104, 0.12, 0.113, 0.063, 0.07, 0.075,
0.073, 0.104, 0.111, 0.091, 0.072, 0.07, 0.05, 0.083, 0.114, 0.11, 0.098,
0.083, 0.077, 0.07, 0.078, 0.098, 0.105, 0.069, 0.062, 0.045, 0.046, 0.083,
0.106, 0.106, 0.093, 0.077, 0.075, 0.073, 0.057, 0.088, 0.105, 0.094, 0.084,
0.082, 0.081)
x <- c(1, 4, 7, 10, 13, 16, 19, 1, 4, 7, 10, 13, 16, 19, 1, 4, 7,
10, 13, 16, 19, 1, 4, 7, 10, 13, 16, 19, 1, 4, 7, 10,13, 16, 19, 1,
4, 7, 10, 13, 16, 19, 1, 4, 7, 10, 13, 16, 19, 1, 4, 7, 10, 13, 16,
19, 1, 4, 7, 10, 13, 16, 19, 1, 4, 7, 10, 13, 16, 19, 1, 4, 7, 10,
13, 16, 19, 1, 4, 7, 10, 13, 16, 19, 1, 4, 7, 10, 13, 16, 19, 1, 4,
7, 10, 13, 16, 19, 1, 4, 7, 10, 13, 16, 19, 1, 4, 7, 10, 13, 16, 19,
1, 4, 7, 10, 13, 16, 19, 1, 4, 7, 10, 13, 16, 19, 1, 4, 7, 10, 13,
16, 19, 1, 4, 7, 10, 13, 16, 19, 1, 4, 7, 10, 13, 16, 19, 1, 4, 7,
10, 13, 16, 19, 1, 4, 7, 10, 13, 16, 19, 1, 4, 7, 10, 13, 16, 19, 1,
4, 7, 10, 13, 16, 19, 1, 4, 7, 10, 13, 16, 19, 1, 4, 7, 10, 13, 16,
19, 1, 4, 7, 10, 13, 16, 19, 1, 4, 7, 10, 13, 16, 19, 1, 4, 7, 10,
13, 16, 19, 1, 4, 7, 10, 13, 16, 19, 1, 4, 7, 10, 13, 16, 19,1, 4,
7, 10, 13, 16, 19, 1, 4, 7, 10, 13, 16, 19, 1, 4, 7, 10, 13, 16, 19,
1, 4, 7, 10, 13, 16, 19, 1, 4, 7, 10,13, 16, 19, 1, 4, 7, 10, 13,
16, 19, 1, 4, 7, 10, 13, 16, 19, 1, 4, 7, 10, 13, 16, 19, 1, 4, 7,
10, 13, 16, 19, 1, 4, 7, 10, 13, 16, 19, 1, 4, 7, 10, 13, 16, 19, 1,
4, 7, 10, 13, 16, 19, 1, 4, 7, 10, 13, 16, 19)
y <- c(0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1,
0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1,
0.1,0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1,
0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1,
0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1,
0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1,
0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1, 0.1,
0.1, 0.1, 0.1, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,
0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,
0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,
0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,
0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,
0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,
0.2, 0.2, 0.2, 0.2,0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2, 0.2,
0.2, 0.2, 0.2, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3,
0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3,
0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3,
0.3,0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3,
0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3,
0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3,
0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3, 0.3,
0.3, 0.3, 0.3, 0.3)
wireframe(z ~ x * y, xlab="Parameter 1", ylab="Parameter 2", zlab="Fitness Value")
使用plotly我願做同樣的事情,但它總是說是Z必須是一個矩陣。我不明白這是如何映射到x和y。
library(plotly)
p <- plot_ly(x = x, y = y, z = z) %>% add_surface()
p
更妙的是一個data.table的例子,因爲我的數據實際上是在data.table其中Z是一列,x和y是列,並且有大量的其他參數列那將用於情節。
df.ex <- data.table(Output=z,Input1=x,Input2=y,Input3=rnorm(315),Input4 =
abs(rnorm(315)+.5))
wireframe(df.ex$Output ~ df.ex$Input1 * df.ex$Input2)
我不plotly知道,但僅供參考,data.table支持語法像df.ex [,線框(輸出輸入1〜*輸入2)],也就是說,你可以跳過$ 。 – Frank