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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)
线性回归和方差分析
355
95% family-wise confidence level
Thu-Fri
Wed-Fri
Tue-Mon
Tue-Thu
Wed-Tue
-
0.004 0.004
-
0.002 0.002
Differences in mean levels of wday
11-9
TukeyHSD
绘图
11.23.4 另请参阅
参见 11.21 节。
11.24 执行稳健方差分析 (Kruskal-Wallis 检验 )
11.24.1 问题
将数据分为几组。各组数据不是正态分布的,但它们的分布具有相似的形状。你需要执
行一个类似方差分析的检验
你想知道这些组的中位数是否显著不同。
11.24.2 解决方案
创建一个定义数据组的因子。使用 kruskal.test 函数,该函数实现 Kruskal-Wallis
验。与方差分析检验不同,此检验不依赖于数据的正态性:
kruskal.test(x ~ f)
这里,x 是数据向量,f 是分组因子。输出结果包括
p
值。通常,
p
< 0.05 表示两组或更
多组的中位数之间存在显著差异,而
p
> 0.05 没有提供这样的证据。
356
11
11.24.3 讨论
通常,方差分析假设数据是正态分布的。它可以允许数据些许偏离正态,但极端偏差会
产生无意义的 ...
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Publisher Resources

ISBN: 9787111656814