#' Chain functions into pipeline
#'
#' @description
#' Chain functions to make nested function calls easier to read.
#' In brief, \code{a \%>\% f(b)} is equivalent to \code{f(a, b)}. This function
#' was exported from \code{dplyr} and originates from \code{magrittr}. See
#' \link[dplyr]{chain} and \link[magrittr]{\%>\%} for more details.
#'
#' @usage a \%>\% b
#'
#' @examples \dontrun{
#' set.seed(3)
#' ## Three ways to do a silly thing
#' # Nested functions
#' nested <- hclust(
#' dist(
#' cor(
#' matrix(
#' rnorm(100),
#' nrow = 4),
#' method = 'spearman'),
#' 'minkowski'),
#' 'complete')
#'
#' # Temporary variable assignment (more readable)
#' temp <- rnorm(100)
#' temp <- matrix(temp, nrow = 4)
#' temp <- cor(temp, method = 'spearman')
#' temp <- dist(temp, 'minkowski')
#' temped <- hclust(temp, 'complete')
#'
#' # Chained functions (most readable)
#' chained <- rnorm(100) %>%
#' matrix(nrow = 4) %>%
#' cor %>%
#' dist('minkowski') %>%
#' hclust('complete')
#' }
#'
#' @name %>%
#' @rdname chain
#' @importFrom dplyr %>%
#' @export
#'
NULL
#' Create a table from a data source
#'
#' @description
#' This is a generic exported directly from \link[dplyr]{dplyr}
#' (see \link[dplyr]{tbl}).
#'
#' @name tbl
#' @importFrom dplyr tbl
#' @export
NULL
#' Collect tbl_sql as an R data.frame.
#'
#' @description
#' This is a generic exported directly from \link[dplyr]{dplyr}
#' (see \link[dplyr]{collect}).
#'
#' @name collect
#' @importFrom dplyr collect
#' @export
NULL
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