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#' Import/export from clipboard
#'
#' @description These are helper functions around \code{\link{read.table}} and \code{\link{write.table}} to import from and export to clipboard with support for Windows, Linux and macOS.
#'
#' The data will be read and written as tab-separated by default, which makes it possible to copy and paste from other software like Excel and SPSS without further transformation.
#'
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#' This also supports automatic column type transformation, with AMR classes \code{\link{as.rsi}} and \code{\link{as.mic}}.
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#' @rdname clipboard
#' @name clipboard
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#' @inheritParams base::data.frame
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#' @inheritParams utils::read.table
#' @inheritParams utils::write.table
#' @inheritParams readr::locale
#' @param startrow \emph{n}th row to start importing from. When \code{header = TRUE}, the import will start on row \code{startrow} \emph{below} the header.
#' @param as_vector a logical value indicating whether data consisting of only one column should be imported as vector using \code{\link[dplyr]{pull}}. This will strip off the header.
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#' @param guess_col_types a logical value indicating whether column types should be guessed and transformed automatically with \code{\link[readr]{parse_guess}} from the \code{readr} package. Besides, the antimicrobial classes in this AMR package (\code{\link{as.rsi}} and \code{\link{as.mic}}) are also supported.
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#' @param remove_ASCII_escape_char remove ASCII escape character
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#' @param info print info to console
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#' @keywords clipboard clipboard_import clipboard_export import export
#' @importFrom dplyr %>% pull as_tibble
#' @importFrom clipr read_clip_tbl write_clip
#' @importFrom utils read.delim write.table object.size
#' @importFrom readr parse_guess locale
#' @details
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#' The parameter \code{stringsAsFactors} defaults to \code{FALSE}, as opposed to most base \R methods.
#'
#' The parameters \code{date_format} and \code{time_format} also support generic date and time formats like \code{"dd-mm-yyyy"} like Excel.
#'
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#' \if{html}{
#' \strong{Example for copying from Excel:}
#' \out{<div style="text-align: left">}\figure{clipboard_copy.png}\out{</div>}
#' \cr
#' \strong{And pasting in R:} \cr
#' \cr
#' \code{> data <- clipboard_import()} \cr
#' \code{> data} \cr
#' \out{<div style="text-align: left">}\figure{clipboard_paste.png}\out{</div>}
#' \cr
#' \strong{The resulting data contains the right RSI-classes:} \cr
#' \cr
#' \code{> data$amox} \cr
#' \out{<div style="text-align: left">}\figure{clipboard_rsi.png}\out{</div>}
#' }
#' @export
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#' @examples
#' \dontrun{
#'
#' df1 <- data.frame(a = letters[1:12],
#' b = runif(n = 12, min = 1000, max = 2000),
#' stringsAsFactors = FALSE)
#' clipboard_export(df1)
#' df2 <- clipboard_import()
#' identical(df1, df2)
#'
#' # send frequency table to clipboard (e.g. for pasting in Excel)
#' septic_patients %>%
#' freq(age) %>%
#' format() %>% # this will format the percentages
#' clipboard_export()
#' }
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clipboard_import <- function ( sep = ' \t' ,
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quote = " " ,
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header = TRUE ,
dec = " ." ,
na = c ( " " , " NA" , " NULL" ) ,
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stringsAsFactors = FALSE ,
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startrow = 1 ,
as_vector = TRUE ,
guess_col_types = TRUE ,
date_names = ' en' ,
date_format = ' %Y-%m-%d' ,
time_format = ' %H:%M' ,
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remove_ASCII_escape_char = FALSE ,
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tz = " UTC" ,
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encoding = " UTF-8" ,
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info = TRUE ) {
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if ( ! clipr :: clipr_available ( ) & Sys.info ( ) [ ' sysname' ] == " Linux" ) {
# try to support on X11, by setting the R variable DISPLAY
Sys.setenv ( DISPLAY = " localhost:10.0" )
}
# this will fail when clipr is (still) not available
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import_tbl <- clipr :: read_clip_tbl ( file = file ,
sep = sep ,
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quote = quote ,
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header = header ,
strip.white = TRUE ,
dec = dec ,
na.strings = na ,
encoding = ' UTF-8' ,
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stringsAsFactors = stringsAsFactors )
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# use tibble, so column types will be translated correctly
import_tbl <- as_tibble ( import_tbl )
if ( startrow > 1 ) {
# would else lose column headers
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import_tbl <- import_tbl [startrow : NROW ( import_tbl ) , ]
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}
colnames ( import_tbl ) <- gsub ( ' [.]+' , ' _' , colnames ( import_tbl ) )
if ( guess_col_types == TRUE ) {
if ( info == TRUE ) {
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cat ( ' Transforming data by guessing column types...' )
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}
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import_tbl <- tbl_parse_guess ( tbl = import_tbl ,
date_names = date_names ,
date_format = date_format ,
time_format = time_format ,
decimal_mark = dec ,
tz = tz ,
encoding = encoding ,
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remove_ASCII_escape_char = remove_ASCII_escape_char ,
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na = na )
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if ( info == TRUE ) {
cat ( ' OK\n' )
}
}
if ( NCOL ( import_tbl ) == 1 & as_vector == TRUE ) {
import_tbl <- import_tbl %>% pull ( 1 )
}
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# and transform back to data.frame
import_tbl <- as.data.frame ( import_tbl , stringsAsFactors = stringsAsFactors )
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if ( info == TRUE ) {
cat ( " Successfully imported from clipboard:" , NROW ( import_tbl ) , " obs. of" , NCOL ( import_tbl ) , " variables.\n" )
}
import_tbl
}
#' @rdname clipboard
#' @importFrom dplyr %>% pull as_tibble
#' @export
clipboard_export <- function ( x ,
sep = ' \t' ,
dec = " ." ,
na = " " ,
header = TRUE ,
info = TRUE ) {
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if ( ! clipr :: clipr_available ( ) & Sys.info ( ) [ ' sysname' ] == " Linux" ) {
# try to support on X11, by setting the R variable DISPLAY
Sys.setenv ( DISPLAY = " localhost:10.0" )
}
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clipr :: write_clip ( content = x ,
na = na ,
sep = sep ,
row.names = FALSE ,
col.names = header ,
dec = dec ,
quote = FALSE )
if ( info == TRUE ) {
cat ( " Successfully exported to clipboard:" , NROW ( x ) , " obs. of" , NCOL ( x ) , " variables.\n" )
}
}