How to use inner join In R Language
In this method of joining data, the user call the inner_join function, which will result to jointed data with the records that have matching values in both tables in the R programming language.
inner_join() function:
This function includes all rows in `x` and `y`.
Syntax:
inner_join(x, y, by = NULL, on = NULL)
Parameters:
- x: A data.table
- y: A data.table
- by: A character vector of variables to join by.
- on: Indicate which columns in x should be joined with which columns in y.
Example:
In this example, we will be using the inner_join() function from the dplyr package to join two different data as shown in the image above in the R programming language.
R
# load the library library("dplyr") # create dataframe with 1 to 5 integers gfg1 < -data.frame(ID=c(1: 5)) # create dataframe with 4 to 8 integers gfg2 < -data.frame(ID=c(4: 8)) # perform inner join inner_join(gfg1, gfg2, by="ID") |
Output:
ID 1 4 2 5
Joining Data in R with Dplyr Package
In this article, we will be looking at the different methods of joining data with the dplyr in the R programming language.
We need to load the dplyr package. Type the below commands –
Install - install.packages("dplyr")
Load - library("dplyr")
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