plot.RTsurvival: plot Method for the object of class 'RTsurvival'

In matsukik/RTsurvival: Survival Analaysis and Divergence Point Estimation Methods for Reaction Time Data

Description

This function plot the survival curves and divergence point much in line with the ones used in Reingold & Sheridan (2014).

Usage

## S3 method for class 'RTsurvival'
plot(x, dp.point, dif.plot = FALSE, add.arrows = FALSE,
  xlab = "Duration", ylab, legend = TRUE, legend.txt, legend.inset = 0.05,
  ...)

Arguments

x	An object of class RTsurvival
dp.point	(optional.) An object of class DPA or a numeric vector correspoinding to the divergence point.
dif.plot	logical. If TRUE, difference between two conditions rather than curves for each condition will be plotted. Default to FALSE.
add.arrows	logical. Only used when dp.point is supplied. If TRUE, an allow pointing to the divergence point and the corresponding value of divergence point will be printed. Defaul to FALSE.
xlab	A title used for the x axis.
ylab	A title used for the y axis.
legend	logical. If TRUE (default), legend will be printed.
legend.txt	character vector. If supplied, its element will be used for the legend.
legend.inset	distance of legend (placed in topright) from the margins.
...	Any other arguments to be passed to plotting methods. Currently ignored.

References

Reingold, E. M. & Sheridan, H. (2014). Estimating the divergence point: A novel distributional analysis procedure for determining the onset of the influence of experimental variables. Frontiers in Psychology. doi: 10.3389/fpsyg.2014.01432.

See Also

surv.mean, surv.curv, DPA.orig

Examples

data(DPAsample)
msc1 <- surv.mean(DPAsample$subject, DPAsample$duration, DPAsample$condition)
dp1 <- DPA.ci(DPAsample$subject, DPAsample$duration, DPAsample$condition)
plot(msc1, dp1, add.arrows = TRUE, legend.txt = c("Fast Condition", "Slow Condition"))

matsukik/RTsurvival documentation built on May 21, 2019, 12:57 p.m.