【发布时间】:2015-08-27 09:42:25
【问题描述】:
我有多个如下所示的数据框:
> head(Standard.df)
Count.S Date Month Week Year
552 15 2008-01-01 2008-01-01 2007-12-31 2008-01-01
594 11 2008-01-02 2008-01-01 2007-12-31 2008-01-01
1049 10 2008-01-03 2008-01-01 2007-12-31 2008-01-01
511 12 2008-01-04 2008-01-01 2007-12-31 2008-01-01
717 10 2008-01-06 2008-01-01 2007-12-31 2008-01-01
1744 3 2008-01-07 2008-01-01 2008-01-07 2008-01-01
> head(Guardian.df)
Count.G Date Month Week Year
2624 7 2006-01-02 2006-01-01 2006-01-02 2006-01-01
409 13 2006-01-03 2006-01-01 2006-01-02 2006-01-01
93 13 2006-01-04 2006-01-01 2006-01-02 2006-01-01
999 20 2006-01-05 2006-01-01 2006-01-02 2006-01-01
1387 19 2006-01-06 2006-01-01 2006-01-02 2006-01-01
2652 4 2006-01-07 2006-01-01 2006-01-02 2006-01-01
2652 4 2006-01-07 2006-01-01 2006-01-02 2006-01-01
> head(Welt.df)
Count.W Date Month Week Year
2506 9 2006-01-02 2006-01-01 2006-01-02 2006-01-01
384 12 2006-01-03 2006-01-01 2006-01-02 2006-01-01
87 15 2006-01-04 2006-01-01 2006-01-02 2006-01-01
947 6 2006-01-05 2006-01-01 2006-01-02 2006-01-01
1313 19 2006-01-06 2006-01-01 2006-01-02 2006-01-01
2532 16 2006-01-07 2006-01-01 2006-01-02 2006-01-01
表示时间的向量在所有数据帧中具有不同的长度(有些是 10 年,有些是 8 年,依此类推)。理想情况下,我想将所有数据帧中的Count向量合并为一个,并以最长的时间向量作为起点,如果其他数据帧中没有对应的日期 - 请填写NAs
所以,是这样的:
> head(Full.df)
Count.G Count.W Count.S Date Month Week Year
x x 15 2008-01-01 2008-01-01 2007-12-31 2008-01-01
x x 11 2008-01-02 2008-01-01 2007-12-31 2008-01-01
x x 10 2008-01-03 2008-01-01 2007-12-31 2008-01-01
x x 12 2008-01-04 2008-01-01 2007-12-31 2008-01-01
x x 10 2008-01-06 2008-01-01 2007-12-31 2008-01-01
x x 3 2008-01-07 2008-01-01 2008-01-07 2008-01-01
这可以在 R 中实现吗?
【问题讨论】:
标签: r date dataframe time-series