plotcurves: Plot the curves

In quickpsy: Fits Psychometric Functions for Multiple Groups

Description

plotcurves plot the curves.

Usage

plotcurves(qp, panel = NULL, xpanel = NULL, ypanel = NULL, color = NULL,
  averages = T, curves = T, thresholds = T, ci = T)

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
fit <- quickpsy(Vernier, Phaseshift, NumUpward, N,
                grouping = .(Direction, WaveForm, TempFreq), B = 5)
plotcurves(fit)
plotcurves(fit, xpanel = Direction)
plotcurves(fit, xpanel = Direction, color = WaveForm, ci = FALSE)

Example output

Loading required package: DEoptim
Loading required package: parallel

DEoptim package
Differential Evolution algorithm in R
Authors: D. Ardia, K. Mullen, B. Peterson and J. Ulrich

Loading required package: dplyr

Attaching package: 'dplyr'

The following objects are masked from 'package:stats':

    filter, lag

The following objects are masked from 'package:base':

    intersect, setdiff, setequal, union

Loading required package: ggplot2

Attaching package: 'quickpsy'

The following object is masked from 'package:stats':

    deviance

Warning: Ignoring unknown aesthetics: x
Warning: Ignoring unknown aesthetics: x

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