R/utils-deps.R

In tidycells: Read Tabular Data from Diverse Sources and Easily Make Them Tidy

#### dplyr ####

#' @importFrom dplyr bind_rows
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#' @importFrom dplyr distinct
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#' @importFrom dplyr ungroup
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#' @importFrom dplyr group_split
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#' @importFrom dplyr pull
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#' @importFrom dplyr rename
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#' @importFrom dplyr arrange
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#' @importFrom dplyr full_join
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#' @importFrom dplyr inner_join
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#' @importFrom dplyr right_join
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#' @importFrom dplyr left_join
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#' @importFrom dplyr anti_join
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#' @importFrom dplyr select
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#' @importFrom dplyr filter
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#' @importFrom dplyr group_by
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#' @importFrom dplyr mutate
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#' @importFrom dplyr mutate_all
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#' @importFrom dplyr summarise
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#' @importFrom dplyr n
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#' @importFrom dplyr desc
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#' @importFrom dplyr count
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#' @importFrom dplyr case_when
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#' @importFrom dplyr recode
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#' @importFrom dplyr n_distinct
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#### tibble ####

#' @importFrom tibble tibble
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#' @importFrom tibble as_tibble
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#### purrr ####

#' @importFrom purrr map
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#' @importFrom purrr map_df
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#' @importFrom purrr map_lgl
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#' @importFrom purrr map_dbl
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#' @importFrom purrr map_int
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#' @importFrom purrr map_chr
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#' @importFrom purrr imap_dfr
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#' @importFrom purrr reduce
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#### unpivotr ####

#' @importFrom unpivotr enhead
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#### rlang ####

#' @importFrom rlang abort
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#' @importFrom rlang warn
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