Levi_Tripathy: Visual detection of path deviation

In modelfree: Model-Free Estimation of a Psychometric Function

Visual detection of path deviation

Description

The subject was presented with the image of a dot moving rightwards on a linear path until it reached the midline of the display, when it changed direction either upwards or downwards. The subject had to indicate the direction. The symbols in the figure below show the proportion of correct responses in 30 trials as the deviation varied from –3 to 3 units. See https://personalpages.manchester.ac.uk/staff/david.foster/software-modelfree/latest/examples/example02.html

Usage

data("Levi_Tripathy")

Format

A data frame with 7 rows and 3 columns.

x

stimulus level

r

number of successes

m

number of trials

References

Levi, D. M. & Tripathy, S. P. “Is the ability to identify deviations in multiple trajectories compromised by amblyopia?”, Journal of Vision, 6(12), 1367-1379, 2006.

Examples

data("Levi_Tripathy")
x = Levi_Tripathy$x
r = Levi_Tripathy$r
m = Levi_Tripathy$m
plot( x, r / m, xlim = c( -2.87, 2.87 ), ylim = c( 0.03, 0.97 ), type = "p", pch="*" )

modelfree documentation built on May 31, 2023, 7:17 p.m.