merge data frames (inner, outer, left, right)
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> df1 = data.frame(CustomerId = c(1:6), Product = c(rep("Toaster", 3), rep("Radio", 3))) > df1 > CustomerId Product1 1 Toaster2 2 Toaster3 3 Toaster4 4 Radio5 5 Radio6 6 Radio> df2 = data.frame(CustomerId = c(2, 4, 6), State = c(rep("Alabama", 2), rep("Ohio", 1)))> df > CustomerId State1 2 Alabama2 4 Alabama3 6 Ohio |
inner
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> merge(x = df1, y = df2, by = "CustomerId", all = TRUE) > CustomerId Product State1 1 Toaster <NA>2 2 Toaster Alabama3 3 Toaster <NA>4 4 Radio Alabama5 5 Radio <NA>6 6 Radio Ohio |
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> merge(x = df1, y = df2, by = "CustomerId", all.x = TRUE)> CustomerId Product State 1 1 Toaster <NA>2 2 Toaster Alabama3 3 Toaster <NA>4 4 Radio Alabama5 5 Radio <NA>6 6 Radio Ohio |
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> merge(x = df1, y = df2, by = "CustomerId", all.y = TRUE) > CustomerId Product State1 2 Toaster Alabama2 4 Radio Alabama3 6 Radio Ohio |
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> merge(x = df1, y = df2, by = NULL)> CustomerId.x Product CustomerId.y State1 1 Toaster 2 Alabama2 2 Toaster 2 Alabama3 3 Toaster 2 Alabama4 4 Radio 2 Alabama5 5 Radio 2 Alabama6 6 Radio 2 Alabama7 1 Toaster 4 Alabama8 2 Toaster 4 Alabama9 3 Toaster 4 Alabama10 4 Radio 4 Alabama11 5 Radio 4 Alabama12 6 Radio 4 Alabama13 1 Toaster 6 Ohio14 2 Toaster 6 Ohio15 3 Toaster 6 Ohio16 4 Radio 6 Ohio17 5 Radio 6 Ohio18 6 Radio 6 Ohio |
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原文链接：https://blog.csdn.net/asongsongsong/article/details/51029165
