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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420
｜
第
14
章
使用 / 设定年份范围：
ibm['2009/2011'] # all of 2009 - 2011
或者使用 / 设定年月范围：
ibm['2009/201001'] # all of 2009 plus Jan 2010
ibm['2009/201001'] # all of 2009 plus Jan 2010
ibm['200906/201005'] # June 2009 through May 2010
14.4.4 另请参阅
xts 包提供了许多其他灵活的方法来索引时间序列。请参阅 xts 包的帮助文档。
14.5 合并多个时间序列
14.5.1 问题
现有两个或更多的时间序列。需要将它们合并到一个时间序列对象中。
14.5.2 解决方案
使用 zoo 或 xts 对象来表示时间序列，然后使用 merge 函数将它们组合在一起：
merge(
ts1
,
ts2
)
14.5.3 讨论
当两个序列具有不同的时间标签时，合并两个时间序列是很麻烦的。考虑有两个时间序
列，包括 1999 年至 2017 年 IBM 股票的每日价格以及同期的每月消费者物价指数（CPI）：
load(file = "./data/ibm.rdata")
head(ibm)
#> ibm
#> 1999-01-04 64.2
#> 1999-01-05 66.5
#> 1999-01-06 66.2
#> 1999-01-07 66.7
#> 1999-01-08 65.8
#> 1999-01-11 66.4
head(cpi) ...
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