In tjebo/maiaR: Microperimetry analysis for centervue's maia and compass data

knitr::opts_chunk$set(
  collapse = TRUE,
  comment = "#>",
  fig.path = "README-"
)

microperimetr

This package will help you work with microperimetry data.
It is built for centervue's maia and compass devices. (note: currently only for maia device!)

Features

• Extracting data from maia raw (tgz) files becomes as easy as pie.
• contains normdata from literature.
• microperimetr (will) work hand in hand with the perimetry package that will have functions for both location-dependent and location-independent visual field analysis. Because the normdata is interpolated for location-dependent analysis, any custom grid can be used for both types of analysis.
• microperimetr also includes functions for some more or less common visualisation of visual field data

Examples

This is a basic example which shows you how to import your visual field data and plot the (estimated) mean deviation for each included test:

Load sample visual field data in a breeze

# save the tgz files from MAIA patient backup into any directory, 
# Here this is "data_raw", a folder in the working directory 
library(microperimetr)
# read the tgz files
testdata <- read_maia_tgz()

Installation

# for the development version 
devtools::install_github(tjebo/microperimetr)

Sources

Norm data was used from Jonathan Denniss and Maximilian Pfau.

Raw data from Denniss et al. has been made available online.

Accompanying paper in IOVS: http://iovs.arvojournals.org/article.aspx?articleid=2571342

tjebo/maiaR documentation built on Feb. 11, 2024, 4:22 p.m.