Create latent profile plots — plotMixtures • MplusAutomation

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

Caspar J. van Lissa

Examples

if (FALSE) { # \dontrun{
res <- createMixtures(classes = 1:2, filename_stem = "cars",
                      model_overall = "wt ON drat;",
                      model_class_specific = "wt;  qsec;",
                      rdata = mtcars,
                      usevariables = c("wt", "qsec", "drat"),
                      OUTPUT = "standardized",
                      run = 1L)
plotMixtures(res, rawdata = TRUE)
} # }
if (FALSE) { # \dontrun{
plotMixtures(res, variables = "wt")
} # }
if (FALSE) { # \dontrun{
plotMixtures(res, coefficients = "stdyx.standardized")
} # }