MplusAutomation: plotMixtures – R documentation

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plotMixtures

Create latent profile plots

Description

Creates a profile plot for a single object of class 'mplus.model', or a faceted plot of profile plots for an object of class 'mplus.model.list'.

Usage

plotMixtures(
  modelList,
  variables = NULL,
  coefficients = c("unstandardized", "stdyx.standardized", "stdy.standardized",
    "stdy.standardized"),
  parameter = c("Means", "Intercepts"),
  ci = 0.95,
  bw = FALSE,
  rawdata = FALSE,
  alpha_range = c(0, 0.1)
)

Arguments

`modelList`	A list of Mplus mixture models, or a single mixture model
`variables`	A character vectors with the names of the variables (included in the Mplus output) to be plotted.
`coefficients`	Which type of coefficients to plot on the y-axis; default is 'unstandardized'. Options include: c('stdyx.standardized', 'stdy.standardized', 'std.standardized')
`parameter`	Which parameter to plot (from Mplus parameter estimate headings included in the output). Defaults to c('Means', 'Intercepts').
`ci`	What confidence interval should the errorbars span? Defaults to a 95% confidence interval. Set to NULL to remove errorbars.
`bw`	Logical. Should the plot be black and white (for print), or color?
`rawdata`	Should raw data be plotted in the background? Setting this to TRUE might result in long plotting times. Requires including the Mplus syntax 'SAVEDATA: FILE IS "filename"; SAVE = cprobabilities' in the Mplus input.
`alpha_range`	The minimum and maximum values of alpha (transparancy) for the raw data. Minimum should be 0; lower maximum values of alpha can help reduce overplotting.

Value

An object of class 'ggplot'.

Author(s)

Caspar J. van Lissa

Examples

## Not run: 
createMixtures(classes = 1:4, filename_stem = "cars",
               model_overall = "wt ON drat;",
               model_class_specific = "wt;  qsec;",
               rdata = mtcars,
               usevariables = c("wt", "qsec", "drat"),
               OUTPUT = "standardized")
runModels(replaceOutfile = "modifiedDate")
cars_results <- readModels(filefilter = "cars")
plotMixtures(cars_results, rawdata = TRUE)

## End(Not run)
## Not run: 
plotMixtures(cars_results, variables = "wt")

## End(Not run)
## Not run: 
plotMixtures(cars_results, coefficients = "stdyx.standardized")

## End(Not run)

MplusAutomation

An R Package for Facilitating Large-Scale Latent Variable Analyses in Mplus

v0.8

LGPL-3

Authors

Michael Hallquist [aut, cre], Joshua Wiley [aut], Caspar van Lissa [ctb], Daniel Morillo [ctb]

Initial release

2020-09-28