plotfield.normalized: Single plotting function for one 24-2 or 30-2 visual field...

In vfprogression: Visual Field (VF) Progression Analysis and Plotting Methods

Description

plotfield.normalized plots the following 24-2 or 30-2 visual field measurement: sensitivity, TD, TD prob, PD, and PD prob:

Usage

plotfield.normalized(eigenfields, component = 1,
  zmin = -max(abs(c(min(eigenfields), max(eigenfields)))),
  zmax = max(abs(c(min(eigenfields), max(eigenfields)))),
  color.pal = colorRampPalette(c("red", "white", "blue"), space =
  "Lab")(256), show.colorbar = TRUE, topleftannotation = NULL,
  bottomleftannotation = NULL, labelcex = 2, ...)

Arguments

eigenfields	a vector contains Sensitivity/TD/PD measurement. For 24-2 VF eigenfields should have 52 or 54 elements. For 30-2 VF, eigenfields should have 74 or 76 elements.
component	Number of components to be plotted (default: 1).
zmin	minimum value of the color scale (default: auto defined).
zmax	maximum value of the color scale (default: auto defined).
color.pal	an object that defines color scale theme (default: colorRampPalette(c("red", "white", "blue"), space = "Lab")(256)).
show.colorbar	a logic value to show colorbar (default: TRUE).
topleftannotation	a string annotation shown on the top left side of the plot (default: NULL).
bottomleftannotation	a string annotation shown on the bottom left side of the plot (default: NULL).
labelcex	a numeric variable for label size (default: 2).
...	other variables to be added.

Value

heatmap for sensitivity, TD and PD input

Examples

data(vfseries)
eigenfields = t(vfseries[1, grepl('^s[0-9]+', colnames(vfseries))])
plotfield.normalized(eigenfields)
title(main = "Sensitivity", line = 3)
eigenfields = t(vfseries[1, grepl('^td[0-9]+', colnames(vfseries))])
plotfield.normalized(eigenfields)
title(main = "Total Deviation", line = 3)
eigenfields = t(vfseries[1, grepl('^pd[0-9]+', colnames(vfseries))])
plotfield.normalized(eigenfields)
title(main = "Pattern Deviation", line = 3)

vfprogression documentation built on May 24, 2019, 5:10 p.m.