plot.fpp {fixedpointproperty}

Function to plot the distributions and differences of multiple binary mixture distributions.

Description

This function plots kernel-based densities as well as density differences for three or more data sets (fpp objects).

Usage

## S3 method for class 'fpp'
plot(x, ylab = c("Density", "Density difference"), xlim = NULL, ...)

Arguments

x

an fpp object

ylab

y-axis labels of the two plots

xlim

the x limits (x1, x2) of the two plots

...

additional arguments to pass to both plot.density and matplot

Details

Generates two plots, one showing the estimated densities (based on plot.density) and one showing the density differences (based on matplot)

Value

No return value, called for side effects

Author(s)

Leendert van Maanen ([e-mail])

References

Van Maanen, L., De Jong, R., Van Rijn, H (2014). How to assess the existence of competing strategies in cognitive tasks: A primer on the fixed-point property. PLOS One, 9, e106113

Van Maanen, L. Couto, J. & Lebetron, M. (2016). Three boundary conditions for computing the fixed-point property in binary mixture data. PLOS One, 11, e0167377.

See Also

fpGet,fpDensDiff,plot.density,matplot

Examples

## generate data
p <- c(.1,.5,.9)
rt <- sapply(1:3, function(i) {rnormMix(1000, c(1,2), c(1,1), p[i])})
dat <- data.frame(rt=c(rt), cond=rep(1:3, each=1000))

## compute fpp object
fpobject <- fpGet(dat, 1000, bw=.75)

## plot it
op <- par(mfrow=c(1,2))
plot(fpobject)
par(op)