{
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  "Package": "nplyr",
  "Title": "A Grammar of Nested Data Manipulation",
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  "Author": "Mark Rieke [aut], Bolívar Aponte Rolón [cre]\n(<https://orcid.org/0000-0002-2544-4551>), Joran Elias [ctb]",
  "Maintainer": "Bolívar Aponte Rolón <bolaponte@pm.me>",
  "Description": "Provides functions for manipulating nested data frames in\na list-column using 'dplyr' <https://dplyr.tidyverse.org/>\nsyntax. Rather than unnesting, then manipulating a data frame,\n'nplyr' allows users to manipulate each nested data frame\ndirectly. 'nplyr' is a wrapper for 'dplyr' functions that\nprovide tools for common data manipulation steps: filtering\nrows, selecting columns, summarising grouped data, among\nothers.",
  "License": "MIT + file LICENSE",
  "URL": "https://github.com/jibarozzo/nplyr,\nhttps://jibarozzo.github.io/nplyr/",
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    "nest_anti_join",
    "nest_arrange",
    "nest_count",
    "nest_distinct",
    "nest_drop_na",
    "nest_extract",
    "nest_fill",
    "nest_filter",
    "nest_full_join",
    "nest_group_by",
    "nest_inner_join",
    "nest_left_join",
    "nest_mutate",
    "nest_nest_join",
    "nest_relocate",
    "nest_rename",
    "nest_rename_with",
    "nest_replace_na",
    "nest_right_join",
    "nest_select",
    "nest_semi_join",
    "nest_separate",
    "nest_slice",
    "nest_slice_head",
    "nest_slice_max",
    "nest_slice_min",
    "nest_slice_sample",
    "nest_slice_tail",
    "nest_summarise",
    "nest_summarize",
    "nest_transmute",
    "nest_ungroup",
    "nest_unite"
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      "name": "job_survey",
      "title": "Example survey data regarding job satisfaction",
      "object": "job_survey",
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        "tbl",
        "data.frame"
      ],
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        "Q1",
        "Q2",
        "Q3",
        "Q4",
        "Q5"
      ],
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      "table": true,
      "tojson": true
    },
    {
      "name": "personal_survey",
      "title": "Example survey data regarding personal life satisfaction",
      "object": "personal_survey",
      "class": [
        "tbl_df",
        "tbl",
        "data.frame"
      ],
      "fields": [
        "survey_name",
        "Q1",
        "Q2",
        "Q3",
        "Q4",
        "Q5"
      ],
      "rows": 750,
      "table": true,
      "tojson": true
    }
  ],
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      "page": "job_survey",
      "title": "Example survey data regarding job satisfaction",
      "topics": [
        "job_survey"
      ]
    },
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      "page": "nest_arrange",
      "title": "Arrange rows within a nested data frames by column values",
      "concept": [
        "single table verbs"
      ],
      "topics": [
        "nest_arrange"
      ]
    },
    {
      "page": "nest_count",
      "title": "Count observations in a nested data frame by group",
      "topics": [
        "nest_add_count",
        "nest_count"
      ]
    },
    {
      "page": "nest_distinct",
      "title": "Subset distinct/unique rows within a nested data frame",
      "topics": [
        "nest_distinct"
      ]
    },
    {
      "page": "nest_drop_na",
      "title": "Drop rows containing missing values in a column of nested data frames",
      "concept": [
        "tidyr verbs"
      ],
      "topics": [
        "nest_drop_na"
      ]
    },
    {
      "page": "nest_extract",
      "title": "Extract a character column into multiple columns using regex groups in a column of nested data frames",
      "concept": [
        "tidyr verbs"
      ],
      "topics": [
        "nest_extract"
      ]
    },
    {
      "page": "nest_fill",
      "title": "Fill missing values in a column of nested data frames",
      "concept": [
        "tidyr verbs"
      ],
      "topics": [
        "nest_fill"
      ]
    },
    {
      "page": "nest_filter",
      "title": "Subset rows in nested data frames using column values.",
      "concept": [
        "single table verbs"
      ],
      "topics": [
        "nest_filter"
      ]
    },
    {
      "page": "nest_group_by",
      "title": "Group nested data frames by one or more variables",
      "concept": [
        "grouping functions"
      ],
      "topics": [
        "nest_group_by",
        "nest_ungroup"
      ]
    },
    {
      "page": "nest_mutate",
      "title": "Create, modify, and delete columns in nested data frames",
      "concept": [
        "single table verbs"
      ],
      "topics": [
        "nest_mutate",
        "nest_transmute"
      ]
    },
    {
      "page": "nest_nest_join",
      "title": "Nested nest join",
      "concept": [
        "joins"
      ],
      "topics": [
        "nest_nest_join"
      ]
    },
    {
      "page": "nest_relocate",
      "title": "Change column order within a nested data frame",
      "topics": [
        "nest_relocate"
      ]
    },
    {
      "page": "nest_rename",
      "title": "Rename columns in nested data frames",
      "concept": [
        "single table verbs"
      ],
      "topics": [
        "nest_rename",
        "nest_rename_with"
      ]
    },
    {
      "page": "nest_replace_na",
      "title": "Replace NAs with specified values in a column of nested data frames",
      "concept": [
        "tidyr verbs"
      ],
      "topics": [
        "nest_replace_na"
      ]
    },
    {
      "page": "nest_select",
      "title": "Subset columns in nested data frames using their names and types",
      "concept": [
        "single table verbs"
      ],
      "topics": [
        "nest_select"
      ]
    },
    {
      "page": "nest_separate",
      "title": "Separate a character column into multiple columns in a column of nested data frames",
      "concept": [
        "tidyr verbs"
      ],
      "topics": [
        "nest_separate"
      ]
    },
    {
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      ],
      "topics": [
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        "nest_slice_head",
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        "nest_slice_min",
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        "nest_slice_tail"
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    },
    {
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      ],
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        "nest_summarise",
        "nest_summarize"
      ]
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        "tidyr verbs"
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      ]
    },
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      ],
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        "nest_full_join",
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      ]
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    }
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