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#' @title Functionality for principal components analysis ('prcomp') objects
#'
#' @description These methods extract data from, and attribute new data to,
#' objects of class `"prcomp"` as returned by [stats::prcomp()].
#'
#' @name methods-prcomp
#' @author Emily Paul
#' @include ord-tbl.r
#' @template param-methods
#' @template return-methods
#' @family methods for singular value decomposition-based techniques
#' @family models from the stats package
#' @example inst/examples/ex-methods-prcomp-iris.r
NULL
#' @rdname methods-prcomp
#' @export
as_tbl_ord.prcomp <- as_tbl_ord_default
#' @rdname methods-prcomp
#' @export
recover_rows.prcomp <- function(x) {
x[["x"]]
}
#' @rdname methods-prcomp
#' @export
recover_cols.prcomp <- function(x) {
x[["rotation"]]
}
#' @rdname methods-prcomp
#' @export
recover_inertia.prcomp <- function(x) {
(x[["sdev"]] ^ 2) * (nrow(x[["x"]]) - 1)
}
#' @rdname methods-prcomp
#' @export
recover_coord.prcomp <- function(x) {
colnames(x[["rotation"]])
}
#' @rdname methods-prcomp
#' @export
recover_conference.prcomp <- function(x) {
# `stats::prcomp()` returns the rotated data
c(1, 0)
}
#' @rdname methods-prcomp
#' @export
recover_aug_rows.prcomp <- function(x) {
name <- rownames(x[["x"]])
if (is.null(name)) {
tibble_pole(nrow(x[["x"]]))
} else {
tibble(name = name)
}
}
#' @rdname methods-prcomp
#' @export
recover_aug_cols.prcomp <- function(x) {
name <- rownames(x[["rotation"]])
res <- if (is.null(name)) {
tibble_pole(nrow(x[["rotation"]]))
} else {
tibble(name = name)
}
if (inherits(x[["center"]], "numeric")) {
res <- dplyr::bind_cols(res, center = x[["center"]])
}
if (inherits(x[["scale"]], "numeric")) {
res <- dplyr::bind_cols(res, scale = x[["scale"]])
}
res
}
#' @rdname methods-prcomp
#' @export
recover_aug_coord.prcomp <- function(x) {
tibble(
name = factor_coord(recover_coord(x)),
sdev = x[["sdev"]]
)
}
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