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How is logical indexing used in vector indexing?


Asked by Ellis Mercado on Dec 05, 2021 FAQ



Positional indexing allowed us to use any R expression to extract one or more elements. Logical indexing allows us to extract elements that meet specified criteria, as specified by an R logical expression. Thus, with a given vector, we could, for example, extract elements that are equal to a particular value:
Additionally,
Logical indexing The final way to index a vector involves logicals. Positional indexing allowed us to use any R expression to extract one or more elements. Logical indexing allows us to extract elements that meet specified criteria, as specified by an R logical expression.
Also Know, Vector Indexing Vector Indexing, or vector index notation, specifies elements within a vector. Indexing is useful when a MATLAB program only needs one element of a series of values. Indexing is often used in combination with repetition structures to conduct the same process for every element in an array.
In addition,
Logical Index Vector. A new vector can be sliced from a given vector with a logical index vector, which has the same length as the original vector. Its members are TRUE if the corresponding members in the original vector are to be included in the slice, and FALSE if otherwise.
Besides,
The index function in R doesn’t take only numerical vectors as arguments; it also works with logical vectors. You can use these logical vectors very efficiently to select some values from a vector. If you use a logical vector to index, R returns a vector with only the values for which the logical vector is TRUE.