我想創建一個用以顯示不同的飽和度和使用下面的代碼的演講及其對採樣動態效果:如何用ggplot2限制stat_function圖的範圍?
max <- 2
decay <- function(x, k, C) {
C * (1 - exp(-k*x))
}
require("ggplot2")
ggplot(NULL, aes(x=x, colour = C)) +
stat_function(data = data.frame(x = 0:max, C = factor(1)), fun = function(x) { decay(x, k=10, C=1e1) }) +
stat_function(data = data.frame(x = 0:max, C = factor(2)), fun = function(x) { decay(x, k=10, C=1e2) }) +
stat_function(data = data.frame(x = 0:max, C = factor(3)), fun = function(x) { decay(x, k=10, C=1e3) }) +
stat_function(data = data.frame(x = 0:max, C = factor(4)), fun = function(x) { decay(x, k=10, C=1e4) }) +
stat_function(data = data.frame(x = 0:max, C = factor(5)), fun = function(x) { decay(x, k=10, C=1e5) }) +
stat_function(data = data.frame(x = 0:max, C = factor(6)), fun = function(x) { decay(x, k=10, C=1e6) }) +
scale_colour_manual(values = c("red", "orange", "yellow", "green", "blue", "violet"), labels = c(1, 2, 3, 4, 5, 6)) + scale_colour_discrete(name=expression(paste(C, " value"))) +
ylab(label="count") + ylim(0, 100)
的目的是表明,高C值情況下,曲線將呈現線性。然而,當我期望它只是在最大值處截斷曲線時,ylim將防止顯示任何曲線,它的值大於ylim的最大值。
我如何獲得所需的行爲?
這不是'xlim'和'ylim'函數的目的嗎? –