bind matching rows of two dataframes and keep unmatching columns in r

You can use the merge function in R to bind matching rows of two dataframes and keep the unmatching columns. You can specify the columns to merge by using the by argument. Here is an example:

# Create two sample dataframes
df1 <- data.frame(ID = c(1, 2, 3), Name = c("Alice", "Bob", "Charlie"))
df2 <- data.frame(ID = c(2, 3, 4), Age = c(25, 30, 22))

# Merge the dataframes on the 'ID' column
merged_df <- merge(df1, df2, by = "ID", all = TRUE)

# Print the merged dataframe
print(merged_df)
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In this example, the by argument specifies the column on which to merge (ID in this case). The all = TRUE argument keeps all rows from both dataframes, merging only the rows with matching ID, while keeping the unmatching columns (Name in df1 and Age in df2) in the resulting dataframe.