fixing left join

Author: sstevens2

episodes/05-dplyr.Rmd

@@ -684,7 +684,7 @@ In this case we will instead use another "outer join" option called "left join".
 A left join keeps all of the data in the table written on the left side of our function, and will add on columns where the table on the right side matches via our `by` statement.
 ```{r, purl=FALSE, message=FALSE}
 # arguments      "left tbl"  "right tbl"
-full <- full_join(variants, metadata_sub, by = join_by(sample_id == run))
+left <- left_join(variants, metadata_sub, by = join_by(sample_id == run))
 ```
 In this case, the resulting data frame matches our `inner` result exactly because there was no missing data in our right table.
 Note: A "right" join is the opposite of a "left" so it will keep all the data in the right most listed table and merge on the info in the left most listed table