R语言用极大释然法估计参数后，怎么样将图形表示出来。代码如下

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1. x<c(0.06,2.8441,540,1.1,4.974,509.8,66,800.14,3670,762.2336,0.05,2880,2.4514,1235.921,0.57,0.2,270,159.2482,3.6,769,4.65,280,0.1876,0.3,0.07,2200,0.0695,3970,280,138,1050.952,287.2281,5.7128,0.77,2.964,10.2,3.4849,2.7415,1000,1.3796,13.6403,9.3983,322.371,0.8,0.89,110.3466,2,0.38,10,136.0477,0.4,348.8425,148,52,117,240,1350.358)
   
2. y=log10(x)
   
3. # location and scale based on the y
   
4. x.n <- length(x)
   
5. x.location <- mean(x)
   
6. x.var <- (x.n - 1)/x.n*var(x)
   
7. x.scale <- sqrt(3*x.var)/pi
   
8. # load the stats4 package
   
9. library(stats4)
   
10. # function to calculate negative log-likelihood
    
11. ll.logis <- function(location=x.location, scale=x.scale){
    
12.     -sum(dlogis(x, location, scale, log = TRUE))
    
13. }
    
14. # fitting logistic distribution using mle function
    
15. fit.mle <- mle(ll.logis, method="Nelder-Mead")

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关键词：R语言 怎么样 R语言极大似然法 R语言处理过程

老师，那作图的程序代码是什么？非常感谢！