Question

我有多个数据框，如下所示：

> 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（一些是10年，一些是8，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，并将最长的时间向量作为起点，如果其他数据框中没有相应的日期，请填写{{1} }Š

所以，像这样：

NA

这可以在R吗？

Answer 1

你可以尝试

Reduce(function(...) merge(..., by=c('Date', 'Month', 'Week', 'Year'), 
        all=TRUE), list(Standard.df, Guardian.df, Welt.df))

将时间序列数据组合到单个数据帧中

1 个答案: