visualize: Plot PCA results
In nfrerebeau/archeosciences2019: Replication of Frerebeau, N., Ben Amara, A. and Cantin, N. (2020)

Description Usage Arguments PCA CA Author(s) See Also

View source: R/AllGenerics.R

Visualize multivariate exploratory data analysis results.

visualize(x, ...)

## S3 method for class 'PCA'
visualize(
  x,
  axes = c(1, 2),
  map = c("individuals", "variables", "eigenvalues"),
  extra = NULL,
  select = NULL,
  group = NULL,
  ...
)

`x`	An object of class `PCA` or `CA`.
`...`	Further arguments passed to other methods.
`axes`	A length-two `numeric` vector specifying the components to plot.
`map`	A `character` string or vector of strings specifying the graph to plot (see below). Any unambiguous substring can be given.
`extra`	A string or vector of `character` strings specifiying the supplementary data to plot (see below). Any unambiguous substring can be given. If `NULL` (default) no extra information is plotted.
`select`	A `numeric` or `character` vector specifying a part of the elements that are drawn (see details in `PCA` and `CA`). If `NULL` (default) no selection is made.
`group`	A `character` vector of categories or a length-one `numeric` vector specifiying the supplementary categorial variable from which to color the individuals. The elements are coerced to characters by `as.character`.