plotSingleCornea: Plot the corneal topography and a summary plot of the Placido...
In rPACI: Placido Analysis of Corneal Irregularity

Description Usage Arguments Details Examples

Draw a three-part plot summarizing the corneal topography analysis, based on the Placido irregularity indices calculated by the function computePlacidoIndices

1	plotSingleCornea(dataset, PlacidoIndices, filename = NULL)

dataset

A data.frame containing the corneal topography points, with columns:

`x`		The X Cartesian coordinates of the points
`y`		The Y Cartesian coordinates of the points
`ring index`		Number or index of the ring to which each point belongs

PlacidoIndices

A dataset of results as given by the function computePlacidoIndices or analyzeFile.

filename

An optional character argument, with the file name used to read the data (by default, NULL; if specified, the filename is displayed on the plot).

This function draws a 3-column plot, with the corneal topography in dataset plotted on the left, the value of index GLPI taken from PlacidoIndices on the middle, and a boxplot of some of the Placido indices on the right (with the values of PI_1, PI_2, PI_3 and SL) taken from PlacidoIndices.

For the two latter columns, the ranges of values that should be considered normal, suspect or irregular have been depicted with different colors (green, orange and red respectively). The thresholds for these divisions are 30 (between normal (green) and suspect (orange) zones) and 70 (between suspect (orange) and irregular (red) zones).

The scales for these two plots are in general different, as GLPI ranges from 0 to 100, whereas the primary Placido irregularity indices range from 0 to 150 by default.

Consult more information about the use of rPACI, including the available plots, in vignette("packageUsage", package = "rPACI"),

# Read a corneal topography from a file
dataset = readFile(system.file("extdata","K03.txt", package="rPACI"))

# Compute the Placido irregularity indices with:
results = computePlacidoIndices(dataset)

# Draw the corneal topography along the results with:
plotSingleCornea(dataset, results)