In R language, you can join data frames using various types of joins, including inner join, outer join, left join, and right join. Here's how you can perform these joins using the merge()
function or the dplyr
package.
- Inner Join: An inner join returns only the matching records between two data frames.
Using merge()
function:
merged_df <- merge(df1, df2, by = "common_column")
Using dplyr
package:
library(dplyr)
merged_df <- inner_join(df1, df2, by = "common_column")
- Outer Join: An outer join returns all records from both data frames, matching records as well as non-matching records.
Using merge()
function:
merged_df <- merge(df1, df2, by = "common_column", all = TRUE)
Using dplyr
package:
library(dplyr)
merged_df <- full_join(df1, df2, by = "common_column")
- Left Join: A left join returns all records from the left data frame and the matching records from the right data frame.
Using merge()
function:
merged_df <- merge(df1, df2, by = "common_column", all.x = TRUE)
Using dplyr
package:
library(dplyr)
merged_df <- left_join(df1, df2, by = "common_column")
- Right Join: A right join returns all records from the right data frame and the matching records from the left data frame.
Using merge()
function:
merged_df <- merge(df1, df2, by = "common_column", all.y = TRUE)
Using dplyr
package:
library(dplyr)
merged_df <- right_join(df1, df2, by = "common_column")
Note: Replace df1
and df2
with the names of your actual data frames, and "common_column"
with the column name that both data frames share.
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