tapply() is a function that applies to subsets of a vector. It is most commonly used in the following situations: A dataset that can be divided into categories (via categorical variables - aka factors) We'd like to divide the data into groups. We want to apply a function to each group.
The apply family contains functions that allow us to handle data frames, arrays, matrices, and vectors. These routines can be used instead of loops. Functions, on the other hand, are more efficient than loops since they execute faster. These routines eliminate the need to create a loop in R explicitly.
tapply() is a function that applies to subsets of a vector. It is most commonly used in the following situations: A dataset that can be divided into categories (via categorical variables - aka factors) We'd like to divide the data into groups.
R is a good place to start. Apply a function to each cell of a ragged array, that is, to each (non-empty) collection of values determined by a unique combination of specific parameters' levels. tapply() basically applies a function or operation to a subset of the vector that is split down by a factor variable.
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