Question

我正在尝试在R中生成对数正态概率密度的图，其中有3种不同的对数和标准偏差日志。我尝试过以下方法，但我的图表太丑了，看起来并不好看。

 x<- seq(0,10,length = 100)
 a <- dlnorm(x, meanlog = 0, sdlog = 1, log = FALSE)
 b <- dlnorm(x, meanlog = 0, sdlog = 1.5, log = FALSE)
 g <- dlnorm(x, meanlog = 1.5, sdlog = 0.2, log = FALSE)
 plot(x,a, lty=5, col="blue", lwd=3)
 lines(x,b, lty=2, col = "red")
 lines(x,g, lty=4, col = "green")

我甚至试图在右上方为每个平均日志和标准差日志添加图例，但它不适用于我。我想知道是否有人可以指导我。

Right top of the graph

Answer 1

您的代码确实没有错。你忘了：

在.navbar-toggle .icon-bar{background-color:white;} .navbar-left { overflow: auto; font-weight: 200; color: #fff; background-color: #3d486f; position: fixed; top: 0px; width: 250px; height: 100%; } .navbar-left a { color: #fff; } .navbar-left-header { margin: 15px 0; } .navbar-left ul, .navbar-left li { list-style: none; } .navbar-clear { clear: left; } @media (max-width: 767px) { .navbar-left { position: relative; width: 100%; margin-bottom: 10px; } .navbar-left .navbar-toggle { display: block; } } @media (min-width: 768px) { #menu-content { display: block; } .navbar-left .navbar-toggle { display: none; } };

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设置好type = "l"以保留所有行。

以下是plot的简单解决方案：

ylim

要添加图例，请使用

matplot

您还可以阅读matplot(x, cbind(a,b,g), type = "l", ylab = "density", main = "log-normal", col = 1:3, lty = 1:3)添加表达式。尝试将上面的legend("topright", legend = c("mu = 0, sd = 1", "mu = 0, sd = 1.5", "mu = 1.5, sd = 0.2"), col = 1:3, lty = 1:3)参数更改为：

?plotmath

R中的对数正态概率密度图

1 个答案: