plotthresholds: Plot the thresholds

In quickpsy: Fits Psychometric Functions for Multiple Groups

Description

plotthresholds plot the thresholds.

Usage

plotthresholds(qp, x = NULL, panel = NULL, xpanel = NULL, ypanel = NULL,
  color = NULL, geom = "bar", ci = T, sizeerrorbar = 0.5)

Arguments

qp	output from quickpsy.
x	Name of the variable to displayed in the x-axis.
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.
geom	If 'bar' displays bars.
ci	If FALSE confidence intervals are not plotted (default is TRUE).
sizeerrorbar	Line width of the error bars. If 'point' displays points (default is 'bar').

See Also

plotthresholds_

Examples

library(MPDiR) # contains the Vernier data
fit <- quickpsy(Vernier, Phaseshift, NumUpward, N,
                grouping = .(Direction, WaveForm, TempFreq), B = 10)
plotthresholds(fit)
plotthresholds(fit, x = WaveForm)
plotthresholds(fit, xpanel = Direction)
plotthresholds(fit, color = Direction, ypanel = WaveForm, geom = 'point')

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

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