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  2. Tidyverse - Wikipedia

    en.wikipedia.org/wiki/Tidyverse

    There is also an active R community around the tidyverse. For example, there is the TidyTuesday social data project organised by the Data Science Learning Community (DSLC), [ 16 ] where varied real-world datasets are released each week for the community to participate, share, practice, and make learning to work with data easier. [ 17 ]

  3. dplyr - Wikipedia

    en.wikipedia.org/wiki/Dplyr

    dplyr is an R package whose set of functions are designed to enable dataframe (a spreadsheet-like data structure) manipulation in an intuitive, user-friendly way. It is one of the core packages of the popular tidyverse set of packages in the R programming language. [1]

  4. Potentially all pairwise rankings of all possible alternatives

    en.wikipedia.org/wiki/Potentially_all_pairwise...

    After having completed ranking undominated pairs defined on just two criteria at-a-time, this is followed, if the decision-maker chooses to continue (she can stop at any time), by pairs with successively more criteria (i.e. three criteria, then four, then five, etc.), until potentially all undominated pairs are ranked.

  5. Group extension - Wikipedia

    en.wikipedia.org/wiki/Group_extension

    In mathematics, a group extension is a general means of describing a group in terms of a particular normal subgroup and quotient group. If Q {\displaystyle Q} and N {\displaystyle N} are two groups, then G {\displaystyle G} is an extension of Q {\displaystyle Q} by N {\displaystyle N} if there is a short exact sequence

  6. Tibbles - Wikipedia

    en.wikipedia.org/wiki/Tibbles

    Tibbles and Tibble may refer to: Tibbles, a pet cat which is alleged to have wiped out Lyall's wren on Stephens Island in New Zealand tibble, an alternative to a dataframe or datatable in the tidyverse in the R programming language

  7. Training, validation, and test data sets - Wikipedia

    en.wikipedia.org/wiki/Training,_validation,_and...

    A training data set is a data set of examples used during the learning process and is used to fit the parameters (e.g., weights) of, for example, a classifier. [9] [10]For classification tasks, a supervised learning algorithm looks at the training data set to determine, or learn, the optimal combinations of variables that will generate a good predictive model. [11]

  8. Group method of data handling - Wikipedia

    en.wikipedia.org/wiki/Group_method_of_data_handling

    R Package – Open source. R Package for regression tasks – Open source. Python library of MIA algorithm - Open source. Python library of basic GMDH algorithms (COMBI, MULTI, MIA, RIA) - Open source.

  9. Subring - Wikipedia

    en.wikipedia.org/wiki/Subring

    If A is a ring and T is a subring of A generated by R ∪ S, where R is a subring, then T is a ring extension and is said to be S adjoined to R, denoted R[S]. Individual elements can also be adjoined to a subring, denoted R[a 1, a 2, ..., a n]. [4] [3]