crossJoining两个数据帧，而不必重复值

我有两个dataframescrossJoining两个数据帧，而不必重复值

DataFrame1 <- data.frame(StudentId = c(1:20), Subject = c(rep("Algebra", 4), rep("Geometry", 4), rep("English", 4), rep("Zoology", 4), rep("Botany", 4)), CGPA = c(random::randomNumbers(20, 70, 100, 1)), Country = c(rep("USA", 4), rep("UK", 4), rep("Germany", 4), rep("France", 4), rep("Japan", 4)))

和

DataFrame2 <- data.frame(StudentId = c(1:10), State = c(rep("NYC", 2), rep("Illinois", 2), rep("Texas", 2), rep("Virginia", 2), rep("Florida", 2)), Age = c(random::randomNumbers(10, 16, 20, 1)), Gender = c(rep("Male", 3), rep("Female", 3), rep("Male", 2), rep("Female", 2)))

我可以上述两种使用内合并合并为

merge(DataFrame1, DataFrame2)

如何作为合并交叉连接两个数据帧而不重复值？

来源

2016-10-27 ZeekDSA

尝试merge(DataFrame1, DataFrame2, all = T)

来源

2016-10-27 21:20:53 User2321

尝试此交叉连接..

knitr :: kable（合并（X = DataFrame1，Y = DataFrame2，通过= NULL））

来源

2016-11-03 21:06:24

crossJoining两个数据帧，而不必重复值

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