Two data frames can have similar rows, and they can be determined. In this article, we will find the common rows and common columns between two data frames, in the R programming language.
Approach
- Create a first data frame
- Create a second data frame
- Compare using required functions
- Copy same rows to another data frame
- Display data frame so generated.
Data frames in use:
data1:
data 2:
Method 1: Using Intersect() Function:
Syntax: intersect(data , data2)
Parameters:
- data/data2 : It is the data frames on which we have to apply the function.
Example:
R
data1 <- data.frame(x1 = 1:7,
x2 = letters[1:7],
x3 = "y")
data1
data2 <- data.frame(x1 = 2:7,
x2 = letters[2:7],
x3 = c("x", "x", "y", "y" , "x", "y"))
data2
common_rows <- generics::intersect(data1, data2)
common_rows
|
Output:
Method 2: Using inner_join() function.
To find the common data using this method first install the “dplyr” package in the R environment.
install.packages(“dplyr”)
This module has an inner_join() which finds inner join between two data sets.
Syntax: inner_join(data1,data2)
Parameter:
- data1/data2: two datasets to be compared
Example:
R
library("dplyr")
data1 <- data.frame(x1 = 1:7,
x2 = letters[1:7],
x3 = "y")
data1
data2 <- data.frame(x1 = 2:7,
x2 = letters[2:7],
x3 = c("x", "x", "y", "y" , "x", "y"))
data2
common_rows2 <- inner_join(data1, data2)
common_rows2
|
Output:
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