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
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