ordi: Wrapper for ade4 and vegan ordi functions
In krisrs1128/mvarVis: Visualize multivariate analysis results.

Perform an ordination using an ade4 or vegan function, and return an mvarVis object with the annotation completed.

1 2	ordi(X, method = "ade4_pca", rows_annot = NULL, cols_annot = NULL, dist_method = "euclidean", table_names = NULL, ...)

`X`	Either a data frame, a distance object, a list of both a data frame and a distance, a formula and a data frame, or a list of data frames, depending on the desired method. `pcm`, `acm`, `coa`, `fca`, `fpca`, `hillsmith`, `mix`, and `nsc` require the raw data frame. `pco`, `isomap`, and `metaMDS` can take either a `data.frame` or a `dist`. vegan_cca and rda require a list whose first element is a formula and whose second element is a data set containing the constraining variables, as in the usual `cca` function in `vegan`. `dpcoa` requires a list whose first element is a data frame and whose second element is a distance between the rows on that data frame. `CCorA` and `procuste` require a list of data frames.
`method`	The method among those listed above that will perform the required ordination.
`rows_annot`	For one table methods, a data.frame whose j^th row describes the j^th sample in the coordinates matrices corresponding to row scores. For procustes and CCorA, we require a list of dataframes, one for each of the directions.
`cols_annot`	The analogous object for column scores.
`dist_method`	If a distance matrix is used by the specified method and `X` is not a distance object, we will call `vegdist` on the `X` using this string as the distance.#' @param rows_annot
`table_names`	A vector of strings specifying which tables to extract, for