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# How to find the most frequent factor value in an R data frame column?

To find the most frequent factor value in an R data frame column, we can use names function with which.max function after creating the table for the particular column. This might be required while doing factorial analysis and we want to know which factor occurs the most.

Check out the below examples to understand how it can be done.

## Example 1

Following snippet creates a sample data frame −

Factor_1<-factor(sample(LETTERS[1:4],20,replace=TRUE)) df1<-data.frame(Factor_1) df1

The following dataframe is created −

Factor_1 1 B 2 D 3 B 4 D 5 C 6 D 7 D 8 C 9 C 10 C 11 C 12 C 13 C 14 C 15 A 16 D 17 C 18 C 19 B 20 C

To find which factor occurs the most in df1, add the following code to the above snippet −

Factor_1<-factor(sample(LETTERS[1:4],20,replace=TRUE)) df1<-data.frame(Factor_1) names(which.max(table(df1$Factor_1)))

## Output

If you execute all the above given snippets as a single program, it generates the following output: −

[1] "C"

## Example 2

Following snippet creates a sample data frame −

Factor_2<-factor(sample(c("Male","Female"),20,replace=TRUE)) df2<-data.frame(Factor_2) df2

The following dataframe is created −

Factor_2 1 Female 2 Female 3 Male 4 Female 5 Male 6 Male 7 Female 8 Male 9 Male 10 Female 11 Female 12 Female 13 Female 14 Male 15 Female 16 Female 17 Female 18 Female 19 Female 20 Female

To find which factor occurs the most in df2, add the following code to the above snippet −

Factor_2<-factor(sample(c("Male","Female"),20,replace=TRUE)) df2<-data.frame(Factor_2) names(which.max(table(df2$Factor_2)))

## Output

If you execute all the above given snippets as a single program, it generates the following output: −

[1] "Female"

## Example 3

Following snippet creates a sample data frame −

Factor_3<-factor(sample(c("Hot","Cold","Warm","Lukewarm"),20,replace=TRUE)) df3<-data.frame(Factor_3) df3

The following dataframe is created −

Factor_3 1 Hot 2 Lukewarm 3 Warm 4 Warm 5 Cold 6 Hot 7 Hot 8 Warm 9 Warm 10 Warm 11 Hot 12 Lukewarm 13 Cold 14 Lukewarm 15 Lukewarm 16 Lukewarm 17 Hot 18 Lukewarm 19 Lukewarm 20 Lukewarm

To find which factor occurs the most in df3, add the following code to the above snippet −

Factor_3<-factor(sample(c("Hot","Cold","Warm","Lukewarm"),20,replace=TRUE)) df3<-data.frame(Factor_3) names(which.max(table(df3$Factor_3)))

## Output

If you execute all the above given snippets as a single program, it generates the following output: −

[1] "Lukewarm"

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