如何根据某些搜索字符串创建正则表达式以对数据框进行子集化？

Question

我正在尝试搜索字符串以对数据帧进行子集化.我的df看起来像这样:

dput(df)
structure(list(Cause = structure(c(2L, 1L), .Label = c("jasper not able to read the property table after the release", 
"More than 7000  messages loaded which stuck up"), class = "factor"), 
    Resolution = structure(1:2, .Label = c("jobs and reports are processed", 
    "Updated the property table which resolved the issue."), class = "factor")), .Names = c("Cause", 
"Resolution"), class = "data.frame", row.names = c(NA, -2L))

我想这样做:

df1<-subset(df, grepl("*MQ*|*queue*|*Queue*", df$Cause))

在"原因"列中搜索MQ或队列或队列,使用匹配的记录对数据帧df进行子集化.它似乎没有工作,它捕获其他记录,MQ,队列或队列字符串不存在.

这是你怎么做的,我可以遵循的任何其他想法？

Answer 1

下面的正则表达式似乎有效.我已经添加了一行代码data.frame,这是一个更有趣的例子.

我认为问题来自*你的正则表达式中的s,还添加了大括号来定义组,|但不认为这是强制性的.

df <- data.frame(Cause=c("jasper not able to read the property table after the release", 
                         "More than 7000  messages loaded which stuck up",
                         "blabla Queue blabla"),
                 Resolution = c("jobs and reports are processed", 
                                "Updated the property table which resolved the issue.",
                                "hop"))

> head(df)
Cause                                           Resolution
1 jasper not able to read the property table after the release                       jobs and reports are processed
2               More than 7000  messages loaded which stuck up Updated the property table which resolved the issue.
3                                          blabla Queue blabla                                                  hop

> subset(df, grepl("(MQ)|(queue)|(Queue)", df$Cause))
Cause Resolution
3 blabla Queue blabla        hop

这是你想要的吗？