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#' Bind data by columns
#'
#' This function takes a list of data frames or data tables and combines them by columns.
#' The data have to have the same number and sequence of rows.
#'
#' @param \dots A list of data frames or data tables to be combined by columns.
#' @param showOverview Default \code{TRUE} displays the dimension and column names of the combined data.
#' @return An object of the same type as the first input.
#' @note A common attribute is not necessary (difference to the function \code{\link{rtry_join_left}} and \code{\link{rtry_join_outer}}):
#' the binding process simply puts the data side-by-side.
#' @references This function makes use of the \code{\link[dplyr]{bind_cols}} function within the \code{dplyr} package.
#' @seealso \code{\link{rtry_bind_row}}, \code{\link{rtry_join_left}}, \code{\link{rtry_join_outer}}
#' @examples
#' # Assuming a user has selected different columns as separated data tables
#' # and later on would like to combine them as one for further processing.
#' data1 <- rtry_select_col(data_TRY_15160,
#' ObsDataID, ObservationID, AccSpeciesID, AccSpeciesName, ValueKindName,
#' TraitID, TraitName, DataID, DataName, OrigObsDataID, ErrorRisk, Comment)
#'
#' data2 <- rtry_select_col(data_TRY_15160,
#' OriglName, OrigValueStr, OrigUnitStr, StdValue, UnitName)
#'
#' data <- rtry_bind_col(data1, data2)
#'
#' # Expected messages:
#' # dim: 1782 12
#' # col: ObsDataID ObservationID AccSpeciesID AccSpeciesName ValueKindName TraitID
#' # TraitName DataID DataName OrigObsDataID ErrorRisk Comment
#' #
#' # dim: 1782 5
#' # col: OriglName OrigValueStr OrigUnitStr StdValue UnitName
#' #
#' # dim: 1782 17
#' # col: ObsDataID ObservationID AccSpeciesID AccSpeciesName ValueKindName TraitID
#' # TraitName DataID DataName OrigObsDataID ErrorRisk Comment OriglName
#' # OrigValueStr OrigUnitStr StdValue UnitName
#' @export
rtry_bind_col <- function(..., showOverview = TRUE){
# If ... is missing, show the message
if(missing(...)){
message("Please specify at least two data frames to be combined by columns.")
}
else{
# Perform column binding
TRYdata <- dplyr::bind_cols(...)
# If the combined data is not NULL and if the argument showOverview is set to be TRUE
# Print the dimension and column names of the combined data
if(length(TRYdata) != 0 && showOverview == TRUE){
message("dim: ", paste0(dim(TRYdata), sep = " "))
message("col: ", paste0(colnames(TRYdata), sep = " "))
}
# Return the combined data
return(TRYdata)
}
}
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