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Dark

Version 0.9.6

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Test scripts

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Introduction

This package is being developed at the University of Manchester and is used to analyse data collected in dark adaptation measurements and experiments. The data are collected in the Optometry department of the University of Manchester in the Faculty of Life Sciences. The principal investigator is Dr Ian J Murray, other members of the team include Drs Jeremiah Kelly, Humza Tahir and Laura Patryas.

Data are collected using custom built laboratory devices and computer controlled CRT units. The results are stored usually as text or spreadsheet files. The first part of the workflow is to create a script that retrieves the data and presents it within R in a format that is usable.

The suite of scripts uses a list referred to as a dark object, an initial work through of the data input is shown below. A first GetData... script is shown in GetData.R. This script can be used as a template to create a script specific to your own work.

Acknowledgement

This work presents independent research funded by the National Institute for Health Research Invention for Innovation (NIHR i4i) Programme (ref: II-LB-0712-20001). The views expressed are those of the author(s) and not necessarily those of the NHS, the NIHR or the Department of Health.

Contact

The author of the package can be contacted through jeremiah.kelly at manchester.ac.uk or emkayoh at mac.com.

Getting started

The scripts rely on the generation of a dark object, obj. This is just a list with at least two elements; obj$time and obj$thrs.

Here is a way to do that using copy and paste from a spreadsheet.

Select the time data, then in R type;

obj<-NULL

obj$time<- scan()

then paste and press return.

obj<- NULL
obj$time<- scan()
1: 0  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20
22: 
Read 21 items

repeat for the thresholds

obj$thrs<- scan()
1: 0.1453469 -0.6968675 -1.0072369 -1.0166411 -0.6266554 -0.9923025 -1.1308808 -1.3437734 -1.5006185 -1.5132403 -1.9454982 -2.1601161 -2.3190977 -2.9759416 -2.6118030 -2.6488100 -2.4796138 -3.0221779 -2.8277825 -2.9462043 -3.1657820
22: 
Read 21 items

Finally set the class to dark

class(obj)='dark'

The output should resemble this:

> obj
$thrs
 [1]  0.1453469 -0.6968675 -1.0072369 -1.0166411 -0.6266554 -0.9923025 -1.1308808
 [8] -1.3437734 -1.5006185 -1.5132403 -1.9454982 -2.1601161 -2.3190977 -2.9759416
[15] -2.6118030 -2.6488100 -2.4796138 -3.0221779 -2.8277825 -2.9462043 -3.1657820

$time
 [1]  0  1  2  3  4  5  6  7  8  9 10 11 12 13 14 15 16 17 18 19 20

attr(,"class")
[1] "dark"

email or raise an issue for further help.

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Version

Install

install.packages('Dark')

Version

0.9.8

License

GPL-3

Issues

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Maintainer

Dr MF Kelly

Last Published

June 2nd, 2016

Functions in Dark (0.9.8)

Dark-package

Dark: A package to analyse dark adaptation data
dark

Dark adaptation data.
GetData

GetData
ModelSelect

ModelSelect
Declutter

Declutter
H

This is a simple switch function.
P3

Three parameter model.
BestFit

BestFit
BootDark

BootDark
AICc

Akaike information criterion
MultiStart

MultiStart
P7c

Seven parameter model
TestData

Data that can be used to test other scripts.
P5c

Five parameter model.
P6c

A six parameter model
Start

Start