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#' @title ggplot-based plot for objects of class `"metaMDS"`
#'
#' @description
#' Produces a multi-layer ggplot object representing the output of
#' objects produced by [vegan::metaMDS()].
#'
#' @details
#' TODO
#'
#' @param object an object of class `"metaMDS"`, the result of a call
#' to [vegan::metaMDS()].
#' @param ... Additional arguments passed to `\link{fortify.metaMDS}`.
#'
#' @inheritParams autoplot.cca
#' @return Returns a ggplot object.
#'
#' @author Gavin L. Simpson
#'
#' @export
#'
#' @importFrom grid arrow unit
#' @importFrom ggplot2 autoplot ggplot geom_point geom_text labs coord_fixed
#' aes
#'
#' @examples
#'
#' library("vegan")
#'
#' data(dune)
#'
#' sol <- metaMDS(dune)
#' autoplot(sol)
`autoplot.metaMDS` <- function(
object,
geom = c("point", "text"),
layers = c("species", "sites"),
legend.position = "right",
title = NULL,
subtitle = NULL,
caption = NULL,
ylab,
xlab,
...
) {
obj <- fortify(object, layers = layers, ...)
obj <- obj[obj$score %in% layers, ]
## sort out x, y aesthetics
vars <- get_dimension_names(obj)
## skeleton layer
plt <- ggplot()
geom <- match.arg(geom)
point <- TRUE
if (isTRUE(all.equal(geom, "text"))) {
point <- FALSE
}
if (point) {
plt <- plt +
geom_point(
data = obj,
mapping = aes(
x = .data[[vars[1]]],
y = .data[[vars[2]]],
shape = .data[["score"]],
colour = .data[["score"]]
)
)
} else {
plt <- plt +
geom_text(
data = obj,
mapping = aes(
x = .data[[vars[1]]],
y = .data[[vars[2]]],
label = .data[["label"]],
colour = .data[["score"]]
)
)
}
if (missing(xlab)) {
xlab <- vars[1]
}
if (missing(ylab)) {
ylab <- vars[2]
}
plt <- plt +
labs(
x = toupper(xlab),
y = toupper(ylab),
title = title,
subtitle = subtitle,
caption = caption
)
## add equal scaling
plt <- plt + coord_fixed(ratio = 1)
## do we want a legend
plt <- plt + theme(legend.position = legend.position)
plt
}
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