R Program to find elements that are present in two given data frames

How to find elements that are present in two given data frames

Here we are explaining how to write an R program to find elements that are present in two given data frames. Here we are using a built-in function intersect(). The function intersect() helps to calculate the intersection of subsets of a probability space and the comparisons are made row-wise. The syntax of this function is, 


intersect(x, …) 

Where x, y vectors, data frames, or ps objects containing a sequence of items. And dots(...) indicates the arguments to be passed to or from other methods.

How to find elements that are present in two given data frames in the R program

Below are the steps used in the R program to find elements that are present in two given data frames. In this R program, we directly give the data frame to a built-in function. Here we are using variables X, Y for holding different data frames. Finally, find the common elements of the data frames by calling the function intersect() like intersect(X, Y).

ALGORITHM

STEP 1: Assign variables X,Y with data frames 

STEP 2: First print original data frames 

STEP 3:  Find the common elements from the data frames by calling like intersect(X, Y)

STEP 4:  Store the result in the variable result

STEP 5: Print the final data frame

R Source Code

                                          X = c("a", "b", "c", "d", "e")
Y = c("d", "e", "f", "g")
print("Original Dataframes")
print(X)
print(Y)
print("Common elements in both dataframes:")
result = intersect(X, Y)
print(result)
                                      

OUTPUT

[1] "Original Dataframes"
[1] "a" "b" "c" "d" "e"
[1] "d" "e" "f" "g"
[1] "Common elements in both dataframes:"
[1] "d" "e"