Check out example codes for "r data structures". It will help you in understanding the concepts better.
Code Example 1
# R’s base data structures can be organised by their dimensionality # (1D, 2D, or ND) and whether they’re homogeneous (all contents must be # of the same type) or heterogeneous (the contents can be of different # types). This gives rise to the five data types most often used in data # analysis: Dimension Homogeneous Heterogeneous 1D Atomic vector List 2D Matrix Data frame ND Array # Note, atomic vectors are always flat (i.e. they can't be nested), they # are usually of type logical, integer, double (often called # numeric), or character, and other R objects are built on atomic # vectors. # Note, because atomic vectors cannot contain mixed types, if you # combine types, they will be coerced to the most flexible type of # the types you used. In order of increasing flexibility, the types # are: logical -> integer -> double -> character
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