leb*_*ski 8 math plot r set ggplot2
我应该为第二类斯特林数写一个函数,由下式给出:
为此,我在R中编写了以下函数:
stirling <- function(n, k)
{
sum = 0
for (i in 0:k)
{
sum = sum + (-1)^(k - i) * choose(k, i) * i^n
}
sum = sum / factorial(k)
return(sum)
}
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问题的下一部分是"为n = 20创建一个图,k = 1,2,...,10".我做了一些研究,我认为这些方法curve或者plot可能对我有帮助.但是,我猜这些方法是y在形式f(x)(即单个参数)时使用.但是在这里,我的函数中有两个参数(n和k),stirling所以我不知道如何处理它.
此外,我尝试将k(0,1,2 ...,10)的值转换为矢量,然后将它们传递给stirling,但stirling不接受矢量作为输入.我不知道如何修改代码来生成stirling接受向量.
有什么建议?
As pointed out in the comments, you can vectorize to do this:
Vectorize creates a function wrapper that vectorizes the action of its argument FUN.
Vectorize(FUN, vectorize.args = arg.names, SIMPLIFY = TRUE, USE.NAMES = TRUE)
(vstirling <- Vectorize(stirling))
# function (n, k)
# {
# args <- lapply(as.list(match.call())[-1L], eval, parent.frame())
# names <- if (is.null(names(args)))
# character(length(args))
# else names(args)
# dovec <- names %in% vectorize.args
# do.call("mapply", c(FUN = FUN, args[dovec], MoreArgs = list(args[!dovec]),
# SIMPLIFY = SIMPLIFY, USE.NAMES = USE.NAMES))
# }
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so vstirling() is the vectorized version of stirling().
vstirling(20, 1:10)
# [1] 1.000000e+00 5.242870e+05 5.806064e+08 4.523212e+10 7.492061e+11 4.306079e+12 1.114355e+13 1.517093e+13
# [9] 1.201128e+13 5.917585e+12
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Now all that is left is creating a plot:
plot(x = 1:10, y = vstirling(20, 1:10), ylab = "S(20, x)", xlab = "x")
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