如果组合至少5个ID，则根据变量ID组合观察值 [英] Combine observations based on the variable ID if at least 5 IDs are combined

问题描述

上周我发布了以下问题。这个想法是通过随机组合基于变量id的观察结果来循环确定数据库的内容。

Last week I posted the following question . The idea was to make a loop that determined the content of a database by randomly combining observations based on the variable "id".

例如：

• 数据集1：id 1,2的组合， 3，4，5，6，7，8 ...


• 数据集2：id 1，2，3的组合


• 数据集3： id 2，3，4，5的组合


• 数据集4：第5,6,7,8,9,10，...的组合

• dataset 1: combinations of id 1, 2, 3, 4, 5, 6, 7, 8...
• dataset 2: combinations of id 1, 2, 3
• dataset 3: combinations of id 2, 3, 4, 5
• dataset 4: combinations of id 5, 6, 7, 8, 9, 10...

我得到了一个完美的答案：

I got a perfect answer to the question:

for(i in 2:max(o$id)){
  combis=combn(unique(o$id),i)
  for(j in 1:ncol(combis)){
    sub=o[o$id %in% combis[,j],]
    out=sub[1,]    # use your function
    out$label=paste(combis[,j],collapse ='') #provide an id so you know for which combination this result is
    result=rbind(result,out) # paste it to previous output
  }
}

但是，现在我的问题如下：有没有办法指定我只想组合至少5个ID ？这个过程占用了大量的计算时间，我注意到了t小数据集（带有5个不同的ids）给出有偏见的结果。

However, my question now is the following: is there a way to specify that I only want combinations of at least 5 ids combined? The process takes up a lot of computing time and I noticed that small datasets (with les than 5 different ids) give biased results.

通过这个链接，可以找到数据集和完整代码的示例来重现示例。请注意，运行整个代码可能需要一段时间，除非有一些指定，我只对至少5个ids的组合感兴趣。

Through this link, a sample of the dataset and the full code can be found to reproduce the example. Please be aware that it can take a while to run the entire code, unless there is something specified that I am only interested in combinations of at least 5 ids.

推荐答案

您可以在5开始循环：

for(i in 5:max(o$id)){
  combis=combn(unique(o$id),i)
   ...

这样，每个组合中至少有5个元素（参见？combn）。

This way, there are at least 5 elements in each combination (see ?combn).

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