#' Find taxa pairwise co-occurrence patterns
#'
#' @param pres_df Dataframe with presence records, along with `taxa_col` and
#' `context`(s)
#' @param taxa_col Character name of columns in `pres_df` with taxa.
#' @param context Character name of column(s) in `pres_df` that define the
#' context.'
#' @param ... Passed to `cooccur::cooccur()`
#'
#' @return a list of class `cooccur`
#' @export
#'
#' @examples
make_cooccur <- function(pres_df
, taxa_col = "taxa"
, context
, ...
) {
pres_df %>%
dplyr::distinct(across(all_of(taxa_col))
, across(any_of(context))
) %>%
dplyr::mutate(p = 1) %>%
tidyr::pivot_wider(names_from = any_of(context)
, values_from = p
, values_fill = 0
) %>%
tibble::column_to_rownames(taxa_col) %>%
as.matrix() %>%
cooccur::cooccur(...)
}
Add the following code to your website.
For more information on customizing the embed code, read Embedding Snippets.