如何在X軸圖中不忽略NA值？ [R]

Question

我正在嘗試繪制將三個圖形合並在一起的圖。 （請參見下面的圖）

所有這三個值的x值都在0.0到1.0之間變化。 但是，只有其值真正接近最終x值（1.0）的圖才具有整個x軸范圍。

查看函數axis（），我看到“省略了非限定（無限，NaN或NA）值”，因此有意義的是，沒有1.0左右值的繪圖將沒有等效的x軸。

首先，我認為可能是因為它們的大小，但是即使從繪圖中減小CEX，X軸也將保持不變。

我該如何解決這種情況？ 我真的希望所有三個圖形都具有整個x軸，且在0.0-1.0之間變化。

我使用的腳本是基本的axis（）函數，例如：axis（1，c（0.0，0.2，0.4，0.6，0.8，1.0））

整個代碼（有點混亂，抱歉）：

 t = c(0, 20, 40, 60, 80, 100, 120, 140, 160, 180, 200, 220, 240, 260, 280, 300, 320, 340, 360) p = c(0.0, 0.2, 0.4, 0.6, 0.8, 1.0) par(mfrow=c(1,3)) par(mar= c(5.1, 5, 3, 0)) plot (Pertinencia_Cluster_1, prof, axes = FALSE, type = 'n', xlab = '', ylab = 'Profundidade (m)', cex.main = 0.8) # rect(0, 153, 4, 190, col = '#fffae6', border = "#fffae6") # rect(0, 203, 4, 248, col = '#fffae6', border = "#fffae6") axis(1, p) axis(2, t) grid() lines(Pertinencia_Cluster_1, prof, col = '#cc0000', pch = 16, cex = 0.8) points(Pertinencia_Cluster_1, prof, col = '#cc0000', pch = 16, cex = 0.8) legend(0.12, -25, xpd = TRUE, legend = "Pertinência Cluster 1", pch = 16, col = "#cc0000", cex = 1.0) par(mar= c(5.1, 2.5, 3, 2.5)) plot (Pertinencia_Cluster_2, prof, col = "#008B8B", pch = 17, cex = 1.0, axes = FALSE, xlab = '', ylab = '', cex.main = 0.8, type = 'n') # rect(0, 115, 4, 153, col = '#fffae6', border = "#fffae6") # rect(0, 185, 4, 215, col = '#fffae6', border = "#fffae6") axis(1, p) grid() lines(Pertinencia_Cluster_2, prof, col = '#009900', pch = 16, cex = 0.8) points(Pertinencia_Cluster_2, prof, col = '#009900', pch = 16, cex = 0.8) legend(0.12, -25, xpd = TRUE, legend = "Pertinência Cluster 2", pch = 16, col = "#009900", cex = 1.0) par(mar= c(5.1, 0, 3, 5)) plot (Pertinencia_Cluster_3, prof, col = "#008B8B", pch = 17, cex = 1.0, axes = FALSE, xlab = '', ylab = '', cex.main = 0.8, type = 'n') # rect(0, 0, 4, 87, col = '#fffae6', border = "#fffae6") axis(1, p) grid() lines(Pertinencia_Cluster_3, prof, col = '#0099ff', pch = 16, cex = 0.8) points(Pertinencia_Cluster_3, prof, col = '#0099ff', pch = 16, cex = 0.8) legend(0.12, -25, xpd = TRUE, legend = "Pertinência Cluster 3", pch = 16, col = "#0099ff", cex = 1.0) title('Clay Minerals (Smectite, Palygorskite, Illite, Chlorite & Kaolinite)', outer = T, line = -2) 

Answer 1

在每個plot()命令中添加xlim=c(0,1) 。