June 2020
Beginner to intermediate
522 pages
9h 6m
Chinese
Content preview from R 语言经典实例（原书第 2 版）
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390
第 13 章
高级数值分析和统计方法
本章将给出几个应用统计中的高级方法，这些方法将在研究生课程中学习。
这些方法大部分在 R 的基础发布版中。通过添加包的形式，R 提供了当今最先进的统计
技术。因为 R 现在成为统计学家事实上的
必用工具
，所以他们用 R 来实现他们的最新研
究工作。任何人如果需要寻找最先进的统计技术，这里极力推荐首先到 R 的官网 CRAN
或者其他 R 相关的网站上寻找。
13.1 最小化或者最大化单参数函数
13.1.1 问题
给定一个单参数函数 f，需要找到使 f 达到其最小值或最大值的点。
13.1.2 解决方案
要最小化单参数函数，请使用 optimize。它指明需要最小化的函数 f 及其定义域（x
的上界和下界）：
optimize(
f
, lower =
lowerBound
, upper =
upperBound
)
如果需要最大化函数，请指定 maximum = TRUE：
optimize(
f
,
lower =
lowerBound
,
upper =
upperBound
,
maximum = TRUE)
13.1.3 讨论
optimize 函数可以对单参数函数求最大值或者最小值。它需要在参数中指明需要求极
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