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R 语言经典实例(原书第 2 版)
book

R 语言经典实例(原书第 2 版)

by J.D. Long, Paul Teetor
June 2020
Beginner to intermediate
522 pages
9h 6m
Chinese
China Machine Press
Content preview from R 语言经典实例(原书第 2 版)
统计概论
235
不适用于中位数。有多种计算中位数置信区间的过程。它们都不是专门用于“计算中位数执
行区间的程序”。应用 Wilcoxon 符号秩检验是一个非常标准的计算中位数置信区间的过程。
wilcox.test 函数实现了该过程。在输出中包括置信水平为 95%的置信区间,在本例
中约为 (
-
0.102,0.646)
wilcox.test(x, conf.int = TRUE)
#>
#> Wilcoxon signed rank test
#>
#> data: x
#> V = 200, p-value = 0.1
#> alternative hypothesis: true location is not equal to 0
#> 95 percent confidence interval:
#> -0.102 0.646
#> sample estimates:
#> (pseudo)median
#> 0.311
可以通过设置 conf.level 来更改置信度,例如 conf.level=0.99 或其他值来改变
置信水平。
输出还包括一个名为
伪中位数
pseudomedian)的结果,它在函数的帮助页面上有定义。
不要假设它等于中位数,它们是截然不同的:
median(x)
#> [1] 0.314
9.10.4 另请参阅
Bootstrap 程序对估计中位数的置信区间也很有用,参见 8.5 节和 13.8 节。
9.11 检验样本比例
9.11.1 问题
你可以从包含成功和失败两个事件的总体样本中抽取一个样本数据。你认为成功的真实 ...
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Publisher Resources

ISBN: 9787111656814