I am trying to union two tables. Every month I get new data coming in. It will be handy for me to add the new data to the existing dataframe. I am not seeking to merge them as they are the same variables.
A little example as follow: M and N have the same dimension. I would like to combine M and N together
Thanks in advance
M <- structure(list(ID= c(56L, 67L, 68L, 73L, 77L, 87L), Mary = c(73L,
82L, 80L, 78L, 79L, 80L), Dave = c(45L, 42L, 51L, 46L, 60L, 54L
), Anne = c(78L, 85L, 92L, 83L, 77L, 89L), Bob = c(51L, 49L,
58L, 54L, 62L, 68L)), .Names = c("ID", "Mary", "Dave", "Anne",
"Bob"), class = "data.frame", row.names = c(NA, -6L))
N <- structure(list(ID= c(53L, 22L, 21L, 73L, 727L, 27L), Mary = c(72L,
82L, 80L, 78L, 79L, 80L), Dave = c(45L, 42L, 51L, 46L, 62L, 54L
), Anne = c(78L, 85L, 92L, 22L, 77L, 89L), Bob = c(52L, 49L,
58L, 54L, 62L, 628L)), .Names = c("ID", "Mary", "Dave", "Anne",
"Bob"), class = "data.frame", row.names = c(NA, -6L))
This might be all you need:
MN <- rbind(M, N)
If the two data.frames have different columns, then I would recommend this instead:
library(plyr)
MN <- rbind.fill(M, N)
Finally, if you need to remove duplicates:
MN <- MN[!duplicated(MN),]
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