Applying User-defined Functions on Factor Levels of Dataset in R Programming – by() Function

by() function in R programming is an object-oriented wrapper function which performs the provided function on factor levels of the data set passed in the arguments of function call.

Syntax: by(data, INDICES, FUN)

Parameters:

data: represents the dataset
INDICES: represents the factor list of dataset
FUN: represents the function to be performed on factor levels

Example 1:

# Using mtcars dataset
df <- data.frame(mtcars)

# Factor levels on gear
dffactors <- factor(mtcars$gear)

# Output maximum hp of each factor i.e., gears
by(df, dffactors, function(x){
  m <- max(x$hp)
})

Output:

dffactors: 3
[1] 245
------------------------------------------------------------ 
dffactors: 4
[1] 123
------------------------------------------------------------ 
dffactors: 5
[1] 335

Example 2:

# Using mtcars dataset
df <- data.frame(mtcars)

# Factor levels on gear
dffactors <- factor(mtcars$gear)

# Output mean of qsec of each factor i.e., gears
by(df, dffactors, function(x){
  m <- mean(x$qsec)
})

Output:

dffactors: 3
[1] 17.692
------------------------------------------------------------ 
dffactors: 4
[1] 18.965
------------------------------------------------------------ 
dffactors: 5
[1] 15.64

My Personal Notes arrow_drop_up

Save