R绘图概率密度函数(R plot Probability Density Function)

R绘图概率密度函数(R plot Probability Density Function)

我需要为给定的参数创建各种不同类型的pdf（normal，beta，weibull等）的图。 我是R的新手，我能找到的所有其他资源都显示了如何将这些分布拟合到数据中; 我找不到任何关于如何独立绘制分布的信息。 我怎么做？

I need to create a plot of the various different types of pdf (normal, beta, weibull, etc) for given parameters. I am very new to R, and every other resource I have been able to find shows how to fit these distributions to data; I can't find any on how to plot the distributions independently. How do I do that?

最满意答案

## Normal PDF x <- seq(-4,4,.001) y <- dnorm(x) plot(x,y) ## Beta PDF x <- seq(0,1,.001) y <- dbeta(x,2,5) plot(x,y) # Can also do with line instead of points x <- seq(0,1,.001) y <- dbeta(x,2,5) plot(x,y,type='n') lines(x,y) ## Normal PDF x <- seq(-4,4,.001) y <- dnorm(x) plot(x,y) ## Beta PDF x <- seq(0,1,.001) y <- dbeta(x,2,5) plot(x,y) # Can also do with line instead of points x <- seq(0,1,.001) y <- dbeta(x,2,5) plot(x,y,type='n') lines(x,y)