Description Usage Arguments Examples
This augments left_join
from the dplyr
package with important quality control checks.
When by
is not NULL, then it checks for duplicated IDs (e.g., join variables).
When by
is NULL, if there is only one column in common between x
and y
, then it checks for duplicated IDs using that single column as the join variable.
Also checks if the resulting join has more records than the input table x
.
1 2 |
x |
table to left join into. |
y |
table to be joined into x. |
by |
a character vector of variables to join by. |
copy |
If x and y are not from the same data source, and copy is TRUE, then y will be copied into the same src as x. |
suffix |
If there are non-joined duplicate variables in x and y, these suffixes will be added to the output to disambiguate them. Should be a character vector of length 2. |
1 2 3 4 5 6 7 8 | x <- data.frame(ID=c(1,2,3),ID1=c(1,2,3),x=c(1,1,1))
y <- data.frame(ID=c(1,2,2),ID2=c(1,2,2),y=c(2,2,2))
x
y
left_join_check(x,y)
left_join_check(x,y,by="ID")
left_join_check(x,y,by = c("ID" = "ID"))
left_join_check(x,y,by = c("ID1" = "ID2"))
|
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