create_mds_samples: Create dataframe of coordinates for multidmensional scaling...

In jasongraf1/VADIS: Variation-Based Distance & Similarity Modeling

Create dataframe of coordinates for multidmensional scaling of posterior samples

Description

Create dataframe of coordinates for multidmensional scaling of posterior samples

Usage

create_mds_samples(
  mod_list,
  n_samples = 200L,
  k = 3,
  vadis_line = NULL,
  path = NULL
)

Arguments

mod_list	list of regression model objects of class brmsfit.
n_samples	integer indicating number of samples to pull
k	= the maximum dimension of the space which the data are to be represented in the MDS; must be in $1, 2, …, n-1$ (see cmdscale).
vadis_line	list containing the output of vadis_line2. If NULL (default), this will be run automatically
path	filepath to which to save the output as an .csv file. If NULL, defaults to the current working directory. Set path = FALSE if you do not wish to save to file.

Details

The function creates a dataframe containing MDS coordinates of distance matrices derived from posterior samples of coefficient estimates. Currently only works with brmsfit objects.

Value

a dataframe

Author(s)

Jason Grafmiller

Examples

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Coming soon...

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jasongraf1/VADIS documentation built on July 19, 2023, 10:26 p.m.