首页 \ 问答 \ R：你能指定reshape / cast中变量列的顺序吗？(R: Can you specify the order of variable columns from reshape/cast?)

R：你能指定reshape / cast中变量列的顺序吗？(R: Can you specify the order of variable columns from reshape/cast?)

 我正在使用cast功能来创建宽格式的数据框。 我希望能够控制使用强制转换所产生的列的顺序。 这可能吗？ 
 

 在下面的示例中，它们是订单： cogs_xdep, sales, sga 
 

 我想订购它们： sales, cogs_xdep, sga 
 

 整个过程实际上是从一个宽格式化框架开始的，我在演员表之前使用melt变为长格式。 
 

 一个例子如下 
 

>rawdata_all
  coy_name gvkey_iid    factor X20130930 X20130831 X20130731 X20130630 X20130531    X20130430 X20130331 X20130228 X20130131 X20121231
1    Coy 1    111111     sales         1         2         3         4         5         6         7         8         9        10
2    Coy 2     22222     sales         2        12        22        32        42        52        62        72        82        92
3    Coy 3    333333     sales         3       103       203       303       403       503       603       703       803       903
4    Coy 1    111111 cogs_xdep         4         5         6         7         8         9        10        11        12        13
5    Coy 2     22222 cogs_xdep         5        15        25        35        45        55        65        75        85        95
6    Coy 3    333333 cogs_xdep         6       106       206       306       406       506       606       706       806       906
7    Coy 1    111111       sga         7         8         9        10        11        12        13        14        15        16
8    Coy 2     22222       sga         8        18        28        38        48        58        68        78        88        98
9    Coy 3    333333       sga         9       109       209       309       409       509       609       709       809       909
...

 

 融化为长格式 
 

> non_data_cols <- 3       # There are 3 non-value columns

> master_long <- melt(rawdata_all, id=1:non_data_cols,measured=(non_data_cols+1):length(rawdata_all))

> master_long

    coy_name gvkey_iid    factor  variable value
1      Coy 1    111111     sales X20130930     1
2      Coy 2     22222     sales X20130930     2
3      Coy 3    333333     sales X20130930     3
4      Coy 1    111111 cogs_xdep X20130930     4
5      Coy 2     22222 cogs_xdep X20130930     5
6      Coy 3    333333 cogs_xdep X20130930     6
7      Coy 1    111111       sga X20130930     7
8      Coy 2     22222       sga X20130930     8
...

 

 最后投射'因素'来创建更广泛的数据框架。 （我还将'变量'重命名为'日期'，并从日期值的开头删除'X'）。 
 

> master <- cast(master_long, ...~factor)
 coy_name gvkey_iid     date cogs_xdep sales  sga
1     Coy 1    111111 20130930         4     1    7
2     Coy 1    111111 20130831         5     2    8
3     Coy 1    111111 20130731         6     3    9
4     Coy 1    111111 20130630         7     4   10
5     Coy 1    111111 20130531         8     5   11
6     Coy 1    111111 20130430         9     6   12
7     Coy 1    111111 20130331        10     7   13
8     Coy 1    111111 20130228        11     8   14
9     Coy 1    111111 20130131        12     9   15
10    Coy 1    111111 20121231        13    10   16
...

 

 理想情况下，我希望按以下顺序排列最后3列：sales，cogs_xdep，sga。 cast似乎按字母顺序排列，因为您可以看到它们在原始数据框和长格式数据框中以所需方式排序。 
 

 任何建议将不胜感激。 虽然仅用3重新排列列更容易，但在30多列的真实情况下更加麻烦。 
 

 谢谢， 

I'm using the cast function to create a wide formatted data frame. I'd like to be able to control the ordering of the columns that result from using cast. Is this possible?
 

In the example below, they are order: cogs_xdep, sales, sga
 

I would like to order them: sales, cogs_xdep, sga
 

The whole process actually starts with a wide formatted frame that I use melt to change into a long format before the cast.
 

An example is below
 

>rawdata_all
  coy_name gvkey_iid    factor X20130930 X20130831 X20130731 X20130630 X20130531    X20130430 X20130331 X20130228 X20130131 X20121231
1    Coy 1    111111     sales         1         2         3         4         5         6         7         8         9        10
2    Coy 2     22222     sales         2        12        22        32        42        52        62        72        82        92
3    Coy 3    333333     sales         3       103       203       303       403       503       603       703       803       903
4    Coy 1    111111 cogs_xdep         4         5         6         7         8         9        10        11        12        13
5    Coy 2     22222 cogs_xdep         5        15        25        35        45        55        65        75        85        95
6    Coy 3    333333 cogs_xdep         6       106       206       306       406       506       606       706       806       906
7    Coy 1    111111       sga         7         8         9        10        11        12        13        14        15        16
8    Coy 2     22222       sga         8        18        28        38        48        58        68        78        88        98
9    Coy 3    333333       sga         9       109       209       309       409       509       609       709       809       909
...

 

Melt to put it in long format
 

> non_data_cols <- 3       # There are 3 non-value columns

> master_long <- melt(rawdata_all, id=1:non_data_cols,measured=(non_data_cols+1):length(rawdata_all))

> master_long

    coy_name gvkey_iid    factor  variable value
1      Coy 1    111111     sales X20130930     1
2      Coy 2     22222     sales X20130930     2
3      Coy 3    333333     sales X20130930     3
4      Coy 1    111111 cogs_xdep X20130930     4
5      Coy 2     22222 cogs_xdep X20130930     5
6      Coy 3    333333 cogs_xdep X20130930     6
7      Coy 1    111111       sga X20130930     7
8      Coy 2     22222       sga X20130930     8
...

 

Finally cast on 'factor' to create wider data frame. (I also renamed 'variable' to 'date' and removed the 'X' from the start of the date values).
 

> master <- cast(master_long, ...~factor)
 coy_name gvkey_iid     date cogs_xdep sales  sga
1     Coy 1    111111 20130930         4     1    7
2     Coy 1    111111 20130831         5     2    8
3     Coy 1    111111 20130731         6     3    9
4     Coy 1    111111 20130630         7     4   10
5     Coy 1    111111 20130531         8     5   11
6     Coy 1    111111 20130430         9     6   12
7     Coy 1    111111 20130331        10     7   13
8     Coy 1    111111 20130228        11     8   14
9     Coy 1    111111 20130131        12     9   15
10    Coy 1    111111 20121231        13    10   16
...

 

I would ideally like to have the final 3 columns in the following order: sales, cogs_xdep, sga. cast appears to have arranged them alphabetically as you can see they are ordered in the desired way in both the original data frame and the long formatted data frame.
 

Any suggestions would be greatly appreciated. While it is easier enough to rearrange the columns with only 3, it's more cumbersome in the real situation of 30+ columns.
 

Thanks,

原文：https://stackoverflow.com/questions/18848947
更新时间：2022-09-07 21:09

最满意答案

 我一直在寻找这个已经很长一段时间试图弄清楚发生了什么，因为这对我来说非常有趣。 这就是我的结论： 
 

 事实上，正如你所看到的那样，文本正在向边缘运行，但是通过调用inline它只是表示容器应该更小的错觉，因为它强制将consectetr这个词强加到下一行。 我注意到的一些事情（我删除了你的内联CSS并将其添加到JsFiddle的CSS部分以获得更好的可视性）： 
 

 原始代码： 原始的FIDDLE 
 

 1.将p设置为inline-block或inline并添加分word-break: break-all您可以看到consectetr这个词完全适合框中，正好在边缘上方： 
 

 FIDDLE 1 - 内联块 
 

 FIDDLE 2 - 内联 
 

 2.如果您使用原始代码并将p s父div更改为inline而不是inline-block ，则可以看到文本周围有红色边框，但它不会包装容器，它会包装文本字符串，甚至打破句子的作用： 
 

 FIDDLE 3 - 父内联 
 

 3.最后，如果您要添加换行符，结果将如您所愿： 
 

 FIDDLE 4 - 换行 
 

 所以我的最后结论是，虽然看起来字符串被分成两条不同的线并且小于它的父宽度，但这只是一种幻觉，它实际上仍然占据了它的父级的全宽，除非一个标签专门告诉它在哪里打破阵容。 

I've been looking this over for quite some time trying to figure out what's going on because this is very intriguing to me. And this is what I have concluded:
 

The text is in fact running to the edge as you see, but by calling inline it's merely presenting the illusion that the container should be smaller because it forced the word consectetr to the next line. A few things I have noticed (I removed your inline CSS and added it to JsFiddle's CSS section for better view-ability):
 

ORIGINAL CODE: ORIGINAL FIDDLE
 

1. When setting the p to inline-block or inline and adding word-break: break-all you can see the word consectetr perfectly fits into the box, right above the edge:
 

FIDDLE 1 - inline-block
 

FIDDLE 2 - inline
 

2. If you use your original code and change the ps parent div to inline instead of inline-block you can see the red border wraps around the text, but it doesn't wrap the container, it wraps the string of text, even breaking where the sentence does:
 

FIDDLE 3 - parent inline 
 

3. And finally if you were to add in a line-break, the results would be as you expected:
 

FIDDLE 4 - line break
 

So my final conclusion is although it appears the string is broken up into two different lines and smaller than it's parent width, it's just an illusion and it's actually still taking up the full width of it's parent unless a <br/> tag specifically tells it where to break the line up.

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