I\'d like to merge two data frames by id
, but they both have 2 of the same columns; therefore, when I merge i get new .x
and .y
column
Just drop everything you don't want from df2
- in this case the id
and value2
columns:
left_join(df1, select(df2, c(id,value2)), by = "id")
# id value1 element day value2
#1 1 1.2276303 TEST1 15 -0.1389861
#2 2 -0.8017795 TEST1 15 -0.5973131
#3 3 -1.0803926 TEST1 15 -2.1839668
#4 4 -0.1575344 TEST1 15 0.2408173
#5 5 -1.0717600 TEST1 15 -0.2593554
Beware that not all these answers are equivalent, and ask what it is you need as a result. E.g.:
df1 <- data.frame(id=1:3,day=2:4,element=3:5,value1=100:102)
df2 <- data.frame(id=1:3,day=3:5,element=4:6,value2=200:202)
df1
# id day element value1
#1 1 2 3 100
#2 2 3 4 101
#3 3 4 5 102
df2
# id day element value2
#1 1 3 4 200
#2 2 4 5 201
#3 3 5 6 202
left_join(df1, df2)
#Joining by: c("id", "day", "element")
# id day element value1 value2
#1 1 2 3 100 NA
#2 2 3 4 101 NA
#3 3 4 5 102 NA
left_join(df1, select(df2, c(id,value2)), by = "id")
# id day element value1 value2
#1 1 2 3 100 200
#2 2 3 4 101 201
#3 3 4 5 102 202