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#' @title Fortify a `"vegan_pco"` object.
#'
#' @description
#' Fortifies an object of class `"vegan_pco"` to produce a
#' data frame of the selected axis scores in long format, suitable for
#' plotting with [ggplot2::ggplot()].
#'
#' @details
#' TODO
#'
#' @param model,x an object of class `"vegan_pco"`, the result of a call to
#' [vegan::pco()].
#' @param ... additional arguments passed to [vegan::scores.rda()].
#'
#' @inheritParams fortify.rda
#'
#' @return A data frame (tibble) in long format containing the ordination
#' scores. The first two components are `score` (the type of score in each
#' row) and `label` (the text label to use on plots for this row). The
#' remaining columns are the extracted ordination axis scores.
#' @author Gavin L. Simpson
#'
#' @export
#'
#' @importFrom ggplot2 fortify
#' @importFrom vegan scores
#'
#' @examples
#'
#' library("vegan")
#'
#' data(dune)
#'
#' sol <- pco(dune)
#' head(fortify(sol))
`fortify.vegan_pco` <- function(
model,
data = NULL,
axes = 1:6,
...
) {
tidy(
x = model,
data = data,
axes = axes,
...
)
}
#' @export
#' @rdname fortify.vegan_pco
#' @inheritParams fortify.rda
`tidy.vegan_pco` <- function(
x,
data = NULL,
axes = 1:6,
const = NULL,
...
) {
## extract scores
scrs <- scores(x, choices = axes, ...)
## handle case of only 1 set of scores - must be a list!
scrs <- list(sites = scrs)
miss <- vapply(scrs, function(x) all(is.na(x)), logical(1L))
scrs <- scrs[!miss]
# build the tibble
df <- prep_tidy_scores_tbl(scrs)
df
}
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