prep_stickplot: Retrieve all covariance ellipse data for plotting
In ashiklom/mvtraits: Fit multivariate models to partially missing trait data

Retrieve all covariance ellipse data for plotting

prep_stickplot(mu_global, Sigma_global, mu_group, Sigma_group, xvar, yvar,
  group_names, global_name = "global", col_global = "black",
  col_group = RColorBrewer::brewer.pal(length(group_names), "Paired"),
  pch_g = 8, lty_g = 3, lwd_g = 3, cex_g = 2, pch_s = 19,
  lty_s = 1, lwd_s = 2, cex_s = 1, pch_n = 4, lty_n = 0,
  lwd_n = 1, cex_n = 1)

`mu_global`	List of global mean statistics
`Sigma_global`	List of global variance-covariance matrix statistics
`mu_group`	List of group mean statistics
`Sigma_group`	List of group variance-covariance matrix statistics
`xvar`	Name of x variable as string (must match row name in `matlist`)
`yvar`	Name of y variable as string (must match column name in `matlist`)
`group_names`	Names of each group. Must match order in `mu_group` and `Sigma_group`.
`global_name`	Name of global group. Default = "global".
`col_global`	Color for global correlation
`col_group`	List of colors for group correlations
`pch_g`	Point shape for global correlation
`lty_g`	Line type for global correlation
`lwd_g`	Line width for global correlation
`cex_g`	Point size for global correlation
`pch_s`	Point shape for significant group correlations
`lty_s`	Line type for significant group correlations
`lwd_s`	Line width for significant group correlations
`cex_s`	Point size for significant group correlations
`pch_n`	Point shape for insignificant group correlations
`lty_n`	Line type for insignificant group correlations
`lwd_n`	Line width for insignificant group correlations
`cex_n`	Point size for insignificant group correlations