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