基于 R 中的 grep return 编写新变量
我有一个变量actor，它是一个字符串，包含诸如“几内亚比绍军事力量（1989-1992）”之类的值以及大量其他不同的值相当复杂。我一直在使用 grep() 来查找与不同类型的演员匹配的角色模式。例如，当 actor 包含 “military Forces of” 时，我想将新变量 actor_type 编码为 1，不包含“mutiny of”，字符串变量country也包含在变量actor中。
我不知道如何有条件地创建这个新变量而不诉诸某种类型的可怕的 for 循环。帮我！
数据大致如下：
| | actor | country |
|---+----------------------------------------------------+-----------------|
| 1 | "military forces of guinea-bissau" | "guinea-bissau" |
| 2 | "mutiny of military forces of guinea-bissau" | "guinea-bissau" |
| 3 | "unidentified armed group (guinea-bissau)" | "guinea-bissau" |
| 4 | "mfdc: movement of democratic forces of casamance" | "guinea-bissau" |
I have a variable actor which is a string and contains values like "military forces of guinea-bissau (1989-1992)" and a large range of other different values that are fairly complex. I have been using grep() to find character patterns that match different types of actors. For example I would like to code a new variable actor_type as 1 when actor contains "military forces of", doesn't contain "mutiny of", and the string variable country is also contained in the variable actor.
I am at a loss as to how to conditionally create this new variable without resorting to some type of horrible for loop. Help me!
Data looks roughly like this:
| | actor | country |
|---+----------------------------------------------------+-----------------|
| 1 | "military forces of guinea-bissau" | "guinea-bissau" |
| 2 | "mutiny of military forces of guinea-bissau" | "guinea-bissau" |
| 3 | "unidentified armed group (guinea-bissau)" | "guinea-bissau" |
| 4 | "mfdc: movement of democratic forces of casamance" | "guinea-bissau" |
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如果您的数据位于
data.framedf 中：grepl返回一个逻辑向量，并且可以将其分配给任何内容，例如df$actor_type。打破该装置：
!grepl('mutiny of', df$actor)和grepl('militaryforces of', df$actor)满足您的前两个要求。最后一段，apply(df,1,function(x) grepl(x[2],x[1]))逐行进行，greps表示国家/地区演员。if your data is in a
data.framedf:greplreturns a logical vector and this can be assigned to whatever, e.g.df$actor_type.breaking that appart:
!grepl('mutiny of', df$actor)andgrepl('military forces of', df$actor)satisfy your first two requirements. the last piece,apply(df,1,function(x) grepl(x[2],x[1]))goes row by row andgrepsfor country in actor.