plotcurves_: Plot the curves

In quickpsy: Fits Psychometric Functions for Multiple Groups

Description

plotcurves_ is the standard evaluation SE function associated to the non-standard evaluation NSE function plotcurves. SE functions can be more easily called from other functions. In SE functions, you need to quote the names of the variables.

Usage

plotcurves_(qp, panel = NULL, xpanel = NULL, ypanel = NULL,
  color = NULL, averages = TRUE, curves = TRUE, thresholds = TRUE,
  ci = TRUE)

Arguments

qp	output from quickpsy
panel	Name of the variable to be split in panels.
xpanel	Name of the variable to be split in horizontal panels.
ypanel	Name of the variable to be split in vertical panels.
color	Name of the variable codded by color.
averages	If FALSE averaged probabilities are not plotted (default is TRUE).
curves	If FALSE curves are not plotted (default is TRUE)
thresholds	If FALSE thresholds are not plotted (default is TRUE)
ci	If FALSE confidence intervals are not plotted (default is TRUE)

See Also

plotcurves

Examples

library(MPDiR) # contains the Vernier data
data(Vernier) # ?Venier for the reference
fit <- quickpsy(Vernier, Phaseshift, NumUpward, N,
                grouping = .(Direction, WaveForm, TempFreq), B = 5)

plotcurves_(fit, xpanel = 'Direction')
plotcurves_(fit, color = 'Direction')
plotcurves_(fit, xpanel = 'Direction', color = 'WaveForm', ci = FALSE)

quickpsy documentation built on Oct. 2, 2019, 5:03 p.m.