How to use table() Function In R Language
In this approach we are using table function. The table function is used to tabulate the counts of elements in a vector, factor, or data frame column. It returns a table that shows the frequency of each unique element in the input vector. By comparing the count of each value to 1 we can identify the duplicates.
Syntax:
table_result <- table(factor_Name)
duplicates <- names(table_result[table_result > 1])
Below example counts the occurrences of each unique value in the factor using the table() function and prints the values which are having count greater than 1.
# Example factor
my_factor <- factor(c(22, 34, 26, 22, 54, 34))
# Count occurrences
counts <- table(my_factor)
# Find duplicates
duplicates <- names(counts[counts > 1])
duplicates
Output:
[1] "22" "34"
How to find duplicate values in a factor in R
finding duplicates in data is an important step in data analysis and management to ensure data quality, accuracy, and efficiency. In this article, we will see several approaches to finding duplicate values in a factor in the R Programming Language.
It can be done with two methods
- Using duplicated() Function
- Using table() Function
Contact Us