#' Add rows to a data frame
#'
#' This is a convenient way to add one or more rows of data to an existing data
#' frame. See [tribble()] for an easy way to create an complete
#' data frame row-by-row.
#'
#' @param .data Data frame to append to.
#' @param ... Name-value pairs. If you don't supply the name of a variable,
#' it'll be given the value `NA`.
#' @param .before,.after One-based row index where to add the new rows,
#' default: after last row
#' @family addition
#' @examples
#' # add_row ---------------------------------
#' df <- tibble(x = 1:3, y = 3:1)
#'
#' add_row(df, x = 4, y = 0)
#'
#' # You can specify where to add the new rows
#' add_row(df, x = 4, y = 0, .before = 2)
#'
#' # You can supply vectors, to add multiple rows (this isn't
#' # recommended because it's a bit hard to read)
#' add_row(df, x = 4:5, y = 0:-1)
#'
#' # Absent variables get missing values
#' add_row(df, x = 4)
#'
#' # You can't create new variables
#' \dontrun{
#' add_row(df, z = 10)
#' }
#' @export
add_row <- function(.data, ..., .before = NULL, .after = NULL) {
if (inherits(.data, "grouped_df")) {
stop("Cannot add rows to grouped data frames", call. = FALSE)
}
df <- tibble(...)
attr(df, "row.names") <- .set_row_names(max(1L, nrow(df)))
extra_vars <- setdiff(names(df), names(.data))
if (length(extra_vars) > 0) {
stopc(
"This row would add new variables: ", format_n(extra_vars)
)
}
missing_vars <- setdiff(names(.data), names(df))
df[missing_vars] <- lapply(.data[missing_vars], na_value)
df <- df[names(.data)]
pos <- pos_from_before_after(.before, .after, nrow(.data))
out <- rbind_at(.data, df, pos)
set_class(remove_rownames(out), class(.data))
}
na_value <- function(boilerplate) {
if (is.list(boilerplate))
list(NULL)
else
NA
}
rbind_at <- function(old, new, pos) {
if (nrow(old) == 0) {
old <- old[1, ]
out <- rbind(old, new)[-1, ]
} else {
if (pos <= 0L) {
out <- rbind(new, old)
} else if (pos >= nrow(old)) {
out <- rbind(old, new)
} else {
indexes <- seq_len(pos)
out <- rbind(old[indexes, ], new, old[-indexes, ])
}
}
out
}
#' Add columns to a data frame
#'
#' This is a convenient way to add one or more columns to an existing data
#' frame.
#'
#' @param .data Data frame to append to.
#' @param ... Name-value pairs, all values must have one element for each row
#' in the data frame, or be of length 1
#' @param .before,.after One-based column index or column name where to add the
#' new columns, default: after last column
#' @family addition
#' @examples
#' # add_row ---------------------------------
#' df <- tibble(x = 1:3, y = 3:1)
#'
#' add_column(df, z = -1:1, w = 0)
#'
#' # You can't overwrite existing columns
#' \dontrun{
#' add_column(df, x = 4:6)
#' }
#' # You can't create new observations
#' \dontrun{
#' add_column(df, z = 1:5)
#' }
#' @export
add_column <- function(.data, ..., .before = NULL, .after = NULL) {
df <- tibble(...)
if (ncol(df) == 0L) {
return(.data)
}
if (nrow(df) != nrow(.data)) {
if (nrow(df) == 1) {
df <- df[rep(1L, nrow(.data)), ]
} else {
stopc("Expected ", nrow(.data), " rows, got ", nrow(df))
}
}
extra_vars <- intersect(names(df), names(.data))
if (length(extra_vars) > 0) {
stopc(
"Columns already in data frame: ", format_n(extra_vars)
)
}
pos <- pos_from_before_after_names(.before, .after, colnames(.data))
if (pos <= 0L) {
out <- cbind(df, .data)
} else if (pos >= ncol(.data)) {
out <- cbind(.data, df)
} else {
indexes <- seq_len(pos)
out <- cbind(.data[indexes], df, .data[-indexes])
}
set_class(remove_rownames(out), class(.data))
}
# helpers -----------------------------------------------------------------
pos_from_before_after_names <- function(before, after, names) {
before <- check_names_before_after(before, names)
after <- check_names_before_after(after, names)
pos_from_before_after(before, after, length(names))
}
pos_from_before_after <- function(before, after, len) {
if (is.null(before)) {
if (is.null(after)) {
len
} else {
after
}
} else {
if (is.null(after)) {
before - 1L
} else {
stopc("Can't specify both .before and .after")
}
}
}
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