I'm surprised if this isn't a duplicate, but I couldn't find the answer anywhere else.
I have two data frames, data1
and data2
, that differ in one column, but the rest of the columns are the same. I would like to merge them on a unique identifying column, id
. However, in the event an ID from data2
does not have a match in data1
, I want the entry in data2
to be appended at the bottom, similar to plyr::rbind.fill()
rather than renaming all the corresponding columns in data2 as column1.x
and column1.y
. I realize this isn't the clearest explanation, maybe I shouldn't be working on a Saturday. Here is code to create the two dataframes, and the desired output:
spp1 <- c('A','B','C')
spp2 <- c('B','C','D')
trait.1 <- rep(1.1,length(spp1))
trait.2 <- rep(2.0,length(spp2))
id_1 <- c(1,2,3)
id_2 <- c(2,9,7)
data1 <- data.frame(spp1,trait.1,id_1)
data2 <- data.frame(spp2,trait.2,id_2)
colnames(data1) <- c('spp','trait.1','id')
colnames(data2) <- c('spp','trait.2','id')
Desired output:
spp trait.1 trait.2 id
1 A 1.1 NA 1
2 B 1.1 2 2
3 C 1.1 NA 3
4 C NA 2 9
5 D NA 2 7
Try this:
library(dplyr)
full_join(data1, data2, by = c("id", "spp"))
Output:
spp trait.1 id trait.2
1 A 1.1 1 NA
2 B 1.1 2 2
3 C 1.1 3 NA
4 C NA 9 2
5 D NA 7 2
Alternatively, also merge
would work:
merge(data1, data2, by = c("id", "spp"), all = TRUE)
If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With