Numeric variables are convenient during statistical analysis, but sometimes we need to create categorical (factor) variables from numeric variables. We can create a limited number of categories from a numeric variable using a series of conditional statements, but this is not an efficient way to perform this operation. In R,
cut is a generic command to create
factor variables from numeric variables. In the following example, we will see how we can create factors from a numeric variable, using a series of conditional statements. We will also use the
cut command to perform the same task.
# creating a numeric variable by taking 100 random numbers # from normal distribution set.seed(1234) # setting seed to reproduce the ...