How do I join multiple dataframes in R using dplyr
?
new <- left_join(x,y, by = "Flag")
this is the code I am using to left join x and y the code doesn't work for multiple joins
new <- left_join(x,y,z by = "Flag")
Joins with dplyr. dplyr uses SQL database syntax for its join functions. A left join means: Include everything on the left (what was the x data frame in merge() ) and all rows that match from the right (y) data frame. If the join columns have the same name, all you need is left_join(x, y) .
If one of the tables in the LEFT JOIN has more than one corresponding value, it will create a new row. If you don't want this behaviour, you need to use an aggregating function and GROUP BY .
You can use nested left_join
library(dplyr) left_join(x, y, by='Flag') %>% left_join(., z, by='Flag')
Or another option would to place all the datasets in a list
and use merge
from base R
with Reduce
Reduce(function(...) merge(..., by='Flag', all.x=TRUE), list(x,y,z))
Or we have join_all
from plyr
. Here also, we place the dataframes in a list
and use the argument type='left'
for left join.
library(plyr) join_all(list(x,y,z), by='Flag', type='left')
As @JBGruber mentioned in the comments, it can also be done via purrr
library(purrr) library(dplyr) purrr::reduce(list(x,y,z), dplyr::left_join, by = 'Flag')
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