condPlot: Conditional effects plot

In modnets: Modeling Moderated Networks

Description

Creates a plot of the relationships between two variables at different levels of the moderator. Only works for relationships that include an interaction.

Usage

condPlot(
  out,
  to,
  from,
  swap = FALSE,
  avg = FALSE,
  compare = NULL,
  hist = FALSE,
  xlab = NULL,
  mods = NULL,
  nsims = 500,
  xn = NULL,
  getCIs = FALSE,
  discrete = FALSE,
  ylab = NULL,
  main = NULL,
  midline = TRUE
)

Arguments

out	Output from fitNetwork or resample. Can also provide the fixedNets or betweenNet element of the mlGVAR output.
to	Outcome variable, specified with character string or numeric value.
from	Predictor variable, specified with character string or numeric value.
swap	Logical. Serves to switch the arguments for to and from.
avg	Logical. If TRUE then the average relationship between the two variables is displayed. Only works for GGMs.
compare	Two values can be supplied to indicate levels of the moderator to be compared.
hist	Logical. Determines whether to show a histogram of the data distribution at the bottom of the plot.
xlab	Character string for labeling the x-axis.
mods	This argument will be removed. Model output is automatically detected based on fit argument.
nsims	Number of iterations to simulate the posterior distribution.
xn	Numeric value to indicate how many values of the moderator should be evaluated.
getCIs	Logical. Only applies when avg = TRUE. If getCIs = TRUE, then the confidence intervals for the average difference between the maximum and minimum of the moderator will be returned.
discrete	Logical. Determines whether to treat the moderator as a discrete or continuous variable.
ylab	Character string for labeling the y-axis.
main	Character string for labeling the title of the plot.
midline	Logical. Only applies when discrete = TRUE. Shows a line at the average level of the outcome.

Value

A plot of the conditional effects of one variable on another given different levels of the moderator.

See Also

fitNetwork, resample

Examples

fit <- fitNetwork(ggmDat, 'M')
condPlot(fit, to = 'V5', from = 'V4')
condPlot(fit, to = 2, from = 3, avg = TRUE)

modnets documentation built on Oct. 1, 2021, 9:07 a.m.