plot.dmcob: plot.dmcob: Plot observed data

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

Description

Plot results from the output of dmcObservedData. The plot can be an overall summary, or individual plots (rtCorrect, errorRate, rtErrors, cdf, caf, delta, deltaErrors, all).

Usage

## S3 method for class 'dmcob'
plot(
  x,
  figType = "summary",
  subject = NULL,
  legend = TRUE,
  labels = c("Compatible", "Incompatible"),
  cols = c("black", "green", "red"),
  errorBars = FALSE,
  errorBarType = "sd",
  ylimRt = NULL,
  ylimErr = NULL,
  xlimCDF = NULL,
  ylimCAF = NULL,
  cafBinLabels = FALSE,
  ylimDelta = NULL,
  xlimDelta = NULL,
  ylimDeltaErrors = NULL,
  xlabs = TRUE,
  ylabs = TRUE,
  xaxts = TRUE,
  yaxts = TRUE,
  resetPar = TRUE,
  ...
)

Arguments

x	Output from dmcObservedData
figType	summary, rtCorrect, errorRate, rtErrors, cdf, caf, delta, deltaErrors, all
subject	NULL (aggregated data across all subjects) or integer for subject number
legend	TRUE/FALSE (or FUNCTION) plot legend on each plot
labels	Condition labels c("Compatible", "Incompatible") default
cols	Condition colours c("green", "red") default
errorBars	TRUE(default)/FALSE Plot errorbars
errorBarType	sd(default), or se
ylimRt	ylimit for Rt plots
ylimErr	ylimit for error rate plots
xlimCDF	xlimit for CDF plot
ylimCAF	ylimit for CAF plot
cafBinLabels	TRUE/FALSE
ylimDelta	ylimit for delta plot
xlimDelta	xlimit for delta plot
ylimDeltaErrors	ylimit for delta plot errors
xlabs	TRUE/FALSE
ylabs	TRUE/FALSE
xaxts	TRUE/FALSE
yaxts	TRUE/FALSE
resetPar	TRUE/FALSE Reset graphical parameters
...	additional plot pars

Value

Plot (no return value)

Examples

# Example 1 (real dataset)
plot(flankerData)
plot(flankerData, errorBars = TRUE, errorBarType = "se")
plot(flankerData, figType = "delta")
plot(flankerData, figType = "caf")

# Example 2 (real dataset)
plot(simonData)
plot(simonData, errorBars = TRUE, errorBarType = "se")
plot(simonData, figType = "delta", errorBars = TRUE, errorBarType = "sd")

# Example 3 (simulated dataset)
dat <- createDF(nSubjects = 50, nTrl = 50,
                design = list("Comp" = c("comp", "incomp")))
dat <- addDataDF(dat,
                 RT = list("Comp_comp"   = c(420, 100, 80),
                           "Comp_incomp" = c(470, 100, 95)),
                 Error = list("Comp_comp"   = c(5, 3, 2, 1, 2),
                              "Comp_incomp" = c(15, 8, 4, 2, 2)))
datOb <- dmcObservedData(dat)
plot(datOb, errorBars = TRUE, errorBarType = "sd")

# Example 4 (simulated dataset)
dat <- createDF(nSubjects = 50, nTrl = 50,
                design = list("Comp" = c("comp", "incomp")))
dat <- addDataDF(dat,
                 RT = list("Comp_comp"   = c(420, 100, 150),
                           "Comp_incomp" = c(470, 100, 120)),
                 Error = list("Comp_comp"   = c(5, 3, 2, 1),
                              "Comp_incomp" = c(15, 8, 4, 2)))
datOb <- dmcObservedData(dat, nCAF = 4)
plot(datOb)

DMCfun documentation built on Oct. 25, 2021, 9:09 a.m.