plot.dmcfit_subject: plot.dmcfit_subject: Plot observed + fitted data

In DMCfun: Diffusion Model of Conflict (DMC) in Reaction Time Tasks

plot.dmcfit_subject: Plot observed + fitted data

Description

Plot the simulation results from the output of dmcFit. The plot can be an overall summary, or individual plots (activation, trials, pdf, cdf, caf, delta, all). Plot type summary1 contains an activation plot, example individual trials, the probability distribution function (PDF), the cumulative distribution function (CDF), the conditional accuracy function (CAF) and delta plots. This required that dmcSim is run with fullData = TRUE. Plot type summary2 contains only the PDF, CDF, CAF and delta plots and does not require that dmcSim is run with fullData = TRUE.

Usage

## S3 method for class 'dmcfit_subject'
plot(
  x,
  y,
  subject = NULL,
  figType = "summary",
  labels = c("Compatible", "Incompatible", "Observed", "Predicted"),
  cols = c("green", "red"),
  ylimRt = NULL,
  ylimErr = NULL,
  xlimCDF = NULL,
  ylimCAF = NULL,
  cafBinLabels = FALSE,
  ylimDelta = NULL,
  xlimDelta = NULL,
  xlabs = TRUE,
  ylabs = TRUE,
  xaxts = TRUE,
  yaxts = TRUE,
  xylabPos = 2,
  resetPar = TRUE,
  legend = TRUE,
  legend.parameters = list(legend = c("Observed", "Predicted")),
  ...
)

Arguments

x	Output from dmcFit
y	Observed data
subject	NULL (aggregated data across all subjects) or integer for subject number
figType	summary, rtCorrect, errorRate, rtErrors, cdf, caf, delta, all
labels	Condition labels c("Compatible", "Incompatible", "Observed", "Predicted") default
cols	Condition colours c("green", "red") default
ylimRt	ylimit for Rt plots
ylimErr	ylimit for error rate plots
xlimCDF	ylimit for CDF plot
ylimCAF	ylimit for CAF plot
cafBinLabels	TRUE/FALSE
ylimDelta	ylimit for delta plot
xlimDelta	xlimit for delta plot
xlabs	TRUE/FALSE
ylabs	TRUE/FALSE
xaxts	TRUE/FALSE
yaxts	TRUE/FALSE
xylabPos	2
resetPar	TRUE/FALSE Reset graphical parameters
legend	TRUE/FALSE
legend.parameters	list
...	additional plot pars

Value

Plot (no return value)

Examples

# Example 1
resTh <- dmcFitSubject(flankerData, nTrl = 5000, subject = c(1,3))
plot(resTh, flankerData, subject = 3)

DMCfun documentation built on Sept. 17, 2024, 1:07 a.m.