{
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  "Package": "fastplyr",
  "Title": "Fast Alternatives to 'tidyverse' Functions",
  "Version": "0.9.92",
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  "Description": "A full set of fast data manipulation tools with a tidy\nfront-end and a fast back-end using 'collapse' and 'cheapr'.",
  "License": "MIT + file LICENSE",
  "BugReports": "https://github.com/NicChr/fastplyr/issues",
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  "Author": "Nick Christofides [aut, cre] (ORCID:\n<https://orcid.org/0000-0002-9743-7342>)",
  "Maintainer": "Nick Christofides <nick.christofides.r@gmail.com>",
  "Repository": "https://cran.r-universe.dev",
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    "add_consecutive_id",
    "add_group_id",
    "add_row_id",
    "all_of",
    "any_of",
    "as_tbl",
    "contains",
    "crossing",
    "desc",
    "ends_with",
    "everything",
    "f_add_count",
    "f_anti_join",
    "f_arrange",
    "f_bind_cols",
    "f_bind_rows",
    "f_complete",
    "f_consecutive_id",
    "f_count",
    "f_cross_join",
    "f_deframe",
    "f_distinct",
    "f_duplicates",
    "f_enframe",
    "f_expand",
    "f_fill",
    "f_filter",
    "f_full_join",
    "f_group_by",
    "f_group_data",
    "f_group_indices",
    "f_group_keys",
    "f_group_rows",
    "f_group_size",
    "f_group_split",
    "f_group_vars",
    "f_inner_join",
    "f_left_join",
    "f_mutate",
    "f_n_groups",
    "f_nest_by",
    "f_pull",
    "f_reframe",
    "f_rename",
    "f_right_join",
    "f_rowwise",
    "f_select",
    "f_semi_join",
    "f_slice",
    "f_slice_head",
    "f_slice_max",
    "f_slice_min",
    "f_slice_sample",
    "f_slice_tail",
    "f_summarise",
    "f_summarize",
    "f_ungroup",
    "f_union",
    "f_union_all",
    "fastplyr_disable_informative_msgs",
    "fastplyr_disable_optimisations",
    "fastplyr_enable_informative_msgs",
    "fastplyr_enable_optimisations",
    "get_group_unaware_fns",
    "group_by_order_default",
    "group_id",
    "group_ordered",
    "last_col",
    "list_tidy",
    "n",
    "nesting",
    "new_tbl",
    "nothing",
    "num_range",
    "pick",
    "remove_rows_if_all_na",
    "remove_rows_if_any_na",
    "row_id",
    "starts_with",
    "tidy_quantiles",
    "where"
  ],
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    {
      "page": "add_id",
      "title": "Add a column of useful IDs (group IDs, row IDs & consecutive IDs)",
      "topics": [
        "add_consecutive_id",
        "add_consecutive_id.data.frame",
        "add_group_id",
        "add_group_id.data.frame",
        "add_row_id",
        "add_row_id.data.frame"
      ]
    },
    {
      "page": "desc",
      "title": "Helpers to sort variables in ascending or descending order",
      "topics": [
        "desc"
      ]
    },
    {
      "page": "f_arrange",
      "title": "A 'collapse' version of 'dplyr::arrange()'",
      "topics": [
        "f_arrange"
      ]
    },
    {
      "page": "f_bind",
      "title": "Bind data frame rows and columns",
      "topics": [
        "f_bind",
        "f_bind_cols",
        "f_bind_rows"
      ]
    },
    {
      "page": "f_count",
      "title": "A fast replacement to dplyr::count()",
      "topics": [
        "f_add_count",
        "f_count"
      ]
    },
    {
      "page": "f_distinct",
      "title": "Find distinct rows",
      "topics": [
        "f_distinct"
      ]
    },
    {
      "page": "f_duplicates",
      "title": "Find duplicate rows",
      "topics": [
        "f_duplicates"
      ]
    },
    {
      "page": "f_expand",
      "title": "Fast versions of 'tidyr::expand()' and 'tidyr::complete()'.",
      "topics": [
        "crossing",
        "f_complete",
        "f_expand",
        "nesting"
      ]
    },
    {
      "page": "f_fill",
      "title": "Fill 'NA' values forwards and backwards",
      "topics": [
        "f_fill"
      ]
    },
    {
      "page": "f_filter",
      "title": "Alternative to 'dplyr::filter()'",
      "topics": [
        "f_filter"
      ]
    },
    {
      "page": "f_group_by",
      "title": "'collapse' version of 'dplyr::group_by()'",
      "topics": [
        "f_group_by"
      ]
    },
    {
      "page": "f_group_split",
      "title": "Alternative to 'dplyr::group_split'",
      "topics": [
        "f_group_split"
      ]
    },
    {
      "page": "join",
      "title": "Fast SQL joins",
      "topics": [
        "f_anti_join",
        "f_cross_join",
        "f_full_join",
        "f_inner_join",
        "f_left_join",
        "f_right_join",
        "f_semi_join",
        "f_union",
        "f_union_all"
      ]
    },
    {
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      "title": "A faster 'mutate()' with per-group optimisations",
      "topics": [
        "f_mutate"
      ]
    },
    {
      "page": "f_nest_by",
      "title": "Create a subset of data for each group",
      "topics": [
        "f_nest_by"
      ]
    },
    {
      "page": "f_reframe",
      "title": "A faster 'reframe()' with per-group optimisations",
      "topics": [
        "f_reframe"
      ]
    },
    {
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      ]
    },
    {
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      "topics": [
        "f_pull",
        "f_rename",
        "f_select",
        "nothing"
      ]
    },
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        "f_slice_head",
        "f_slice_max",
        "f_slice_min",
        "f_slice_sample",
        "f_slice_tail"
      ]
    },
    {
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        "f_summarize"
      ]
    },
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      "page": "f_ungroup",
      "title": "Un-group 'grouped_df'",
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        "group_ordered"
      ]
    },
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        "fastplyr_disable_optimisations",
        "fastplyr_enable_informative_msgs",
        "fastplyr_enable_optimisations",
        "fastplyr_options"
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    },
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    },
    {
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        "f_group_keys",
        "f_group_rows",
        "f_group_size",
        "f_group_vars",
        "f_n_groups",
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        "row_id"
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      "page": "remove_na",
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        "remove_rows_if_any_na"
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    {
      "page": "tidy_quantiles",
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