我目前在适应一份新工作,大部分与同事共享的工作都是通过MS Excel进行。我经常使用数据透视表,因此需要"堆叠"数据,这正是我依赖于R中reshape2包中的melt()函数产生的输出。
有人能帮我开始编写一个VBA宏来完成这个任务吗?或者已经存在这样的宏了吗?
该宏的概述如下:
- 选择Excel工作簿中的一系列单元格。
- 启动“melt”宏。
- 宏将创建提示,“输入id列数”,您需要输入识别信息前面的列数(对于下面的示例R代码,为4)。
- 创建一个名为“melt”的新工作表,并将数据堆叠起来,并创建一个名为“variable”的新列,其值等于原始选择的数据列标题。
换句话说,输出结果将与在R中执行以下两行代码的输出完全相同:
require(reshape)
melt(your.unstacked.dataframe, id.vars = 1:4)
以下是一个例子:
# unstacked data
> df1
Year Month Country Sport No_wins No_losses High_score Total_games
2 2010 5 USA Soccer 4 3 5 9
3 2010 6 USA Soccer 5 3 4 8
4 2010 5 CAN Soccer 2 9 7 11
5 2010 6 CAN Soccer 4 8 4 13
6 2009 5 USA Soccer 8 1 4 9
7 2009 6 USA Soccer 0 0 3 2
8 2009 5 CAN Soccer 2 0 6 3
9 2009 6 CAN Soccer 3 0 8 3
# stacking the data
> require(reshape)
> melt(df1, id.vars=1:4)
Year Month Country Sport variable value
1 2010 5 USA Soccer No_wins 4
2 2010 6 USA Soccer No_wins 5
3 2010 5 CAN Soccer No_wins 2
4 2010 6 CAN Soccer No_wins 4
5 2009 5 USA Soccer No_wins 8
6 2009 6 USA Soccer No_wins 0
7 2009 5 CAN Soccer No_wins 2
8 2009 6 CAN Soccer No_wins 3
9 2010 5 USA Soccer No_losses 3
10 2010 6 USA Soccer No_losses 3
11 2010 5 CAN Soccer No_losses 9
12 2010 6 CAN Soccer No_losses 8
13 2009 5 USA Soccer No_losses 1
14 2009 6 USA Soccer No_losses 0
15 2009 5 CAN Soccer No_losses 0
16 2009 6 CAN Soccer No_losses 0
17 2010 5 USA Soccer High_score 5
18 2010 6 USA Soccer High_score 4
19 2010 5 CAN Soccer High_score 7
20 2010 6 CAN Soccer High_score 4
21 2009 5 USA Soccer High_score 4
22 2009 6 USA Soccer High_score 3
23 2009 5 CAN Soccer High_score 6
24 2009 6 CAN Soccer High_score 8
25 2010 5 USA Soccer Total_games 9
26 2010 6 USA Soccer Total_games 8
27 2010 5 CAN Soccer Total_games 11
28 2010 6 CAN Soccer Total_games 13
29 2009 5 USA Soccer Total_games 9
30 2009 6 USA Soccer Total_games 2
31 2009 5 CAN Soccer Total_games 3
32 2009 6 CAN Soccer Total_games 3
RExcel
)可以让你从Excel中调用R。 - Brian Diggs