#' magrittr - Ceci n'est pas un pipe

#'

#' The magrittr package offers a set of operators which promote semantics 

#' that will improve your code by

#' \itemize{

#'   \item structuring sequences of data operations left-to-right

#'         (as opposed to from the inside and out),

#'   \item avoiding nested function calls, 

#'   \item minimizing the need for local variables and function definitions, and

#'   \item making it easy to add steps anywhere in the sequence of operations.

#' }

#' The operators pipe their left-hand side values forward into expressions that

#' appear on the right-hand side, i.e. one can replace `f(x)` with 

#' \code{x \%>\% f}, where \code{\%>\%} is the (main) pipe-operator.

#' 

#' Consider the example below. Four operations are performed to 

#' arrive at the desired data set, and they are written in a natural order: 

#' the same as the order of execution. Also, no temporary variables are needed.

#' If yet another operation is required, it is straight-forward to add to the

#' sequence of operations whereever it may be needed.

#' 

#' For a more detailed introduction see the vignette 

#' (`vignette("magrittr")`) or the documentation pages for the

#' available operators:\cr

#' \tabular{ll}{

#'    \code{\link{\%>\%}}  \tab pipe.\cr

#'    \code{\link{\%T>\%}} \tab tee pipe.\cr

#'    \code{\link{\%<>\%}} \tab assignment pipe.\cr

#'    \code{\link{\%$\%}}  \tab exposition pipe.\cr

#' }

#' 

#' @useDynLib magrittr, .registration = TRUE

#' @examples

#' \dontrun{

#' 

#' the_data <-

#'   read.csv('/path/to/data/file.csv') %>%

#'   subset(variable_a > x) %>%

#'   transform(variable_c = variable_a/variable_b) %>%

#'   head(100)

#' }

#' @keywords internal

"_PACKAGE"

.onLoad <- function(lib, pkg) {

}