tidyLPA: plot_bivariate – R documentation

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plot_bivariate

Create correlation plots for a mixture model

Description

Creates a faceted plot of two-dimensional correlation plots and unidimensional density plots for an object of class 'tidyProfile'.

Usage

plot_bivariate(
  x,
  variables = NULL,
  sd = TRUE,
  cors = TRUE,
  rawdata = TRUE,
  bw = FALSE,
  alpha_range = c(0, 0.1),
  return_list = FALSE
)

Arguments

`x`	tidyProfile object to plot. A tidyProfile is one element of a tidyLPA analysis.
`variables`	Which variables to plot. If NULL, plots all variables that are present in all models.
`sd`	Logical. Whether to show the estimated standard deviations as lines emanating from the cluster centroid.
`cors`	Logical. Whether to show the estimated correlation (standardized covariance) as ellipses surrounding the cluster centroid.
`rawdata`	Logical. Whether to plot raw data, weighted by posterior class probability.
`bw`	Logical. Whether to make a black and white plot (for print) or a color plot. Defaults to FALSE, because these density plots are hard to read in black and white.
`alpha_range`	Numeric vector (0-1). Sets the transparency of geom_density and geom_point.
`return_list`	Logical. Whether to return a list of ggplot objects, or just the final plot. Defaults to FALSE.

Value

An object of class 'ggplot'.

Author(s)

Caspar J. van Lissa

Examples

# Example 1
iris_sample <- iris[c(1:10, 51:60, 101:110), ] # to make example run more quickly
## Not run: 
iris_sample %>%
 subset(select = c("Sepal.Length", "Sepal.Width")) %>%
 estimate_profiles(n_profiles = 2, models = 1) %>%
 plot_bivariate()

## End(Not run)
# Example 2
## Not run: 
mtcars %>%
  subset(select = c("wt", "qsec", "drat")) %>%
  poms() %>%
  estimate_profiles(3) %>%
  plot_bivariate()

## End(Not run)

tidyLPA

Easily Carry Out Latent Profile Analysis (LPA) Using Open-Source or Commercial Software

v1.0.8

MIT + file LICENSE

Authors

Joshua M Rosenberg [aut, cre], Caspar van Lissa [aut], Jennifer A Schmidt [ctb], Patrick N Beymer [ctb], Daniel Anderson [ctb], Matthew J. Schell [ctb]

Initial release