kFsubj: Plots a subject's kinetic data

In kineticF: Framework for the Analysis of Kinetic Visual Field Data

Description

Displays Goldmann and Octopus perimetry data. Octopus data can also be cleaned and re-ordered by this function. Isopter area values are calculated and displayed.

Usage

kFsubj(obj.name, perimeter = "G", no.cleaning = TRUE, no.kprm = TRUE, no.flip = TRUE)

Arguments

obj.name	object (subject) name using format defined for study ID - (please note: ID can only be 5 characters in length)
perimeter	either character, "G" (Goldmann) or "O" (Octopus)
no.cleaning	logical, TRUE if data have been cleaned and ordered
no.kprm	logical, TRUE if no kinetic perimetry reliability measure (KPRM) has been used
no.flip	logical, if FALSE, function displays mirror image along the y-axis for left-eye data

Value

Graphical output of isopters and list of values

Author(s)

Dipesh E Patel & Mario Cortina-Borja

Examples

data(Goldmann.demogr, package='kineticF', envir = environment())
data(M0001RGIII4e, package='kineticF', envir = environment())
data(M0001RGI4e, package='kineticF', envir = environment())
data(M0001RGblind, package='kineticF', envir = environment())
test<- kFsubj(obj.name='M0001R', perimeter='G', 
              no.cleaning=TRUE,
              no.kprm=TRUE, no.flip=TRUE)

Example output

III4e = 12635.4 I4e = 8626 I2e = NA blind spot = 73.3[1]  

kineticF documentation built on May 2, 2019, 2:45 p.m.