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eye  

Analysis of Eye Data
View on CRAN: Click here


Download and install eye package within the R console
Install from CRAN:
install.packages("eye")

Install from Github:
library("remotes")
install_github("cran/eye")

Install by package version:
library("remotes")
install_version("eye", "1.2.1")



Attach the package and use:
library("eye")
Maintained by
Tjebo Heeren
[Scholar Profile | Author Map]
First Published: 2020-06-25
Latest Update: 2021-09-04
Description:
There is no ophthalmic researcher who has not had headaches from the handling of visual acuity entries. Different notations, untidy entries. This shall now be a matter of the past. Eye makes it as easy as pie to work with VA data - easy cleaning, easy conversion between Snellen, logMAR, ETDRS letters, and qualitative visual acuity shall never pester you again. The eye package automates the pesky task to count number of patients and eyes, and can help to clean data with easy re-coding for right and left eyes. It also contains functions to help reshaping eye side specific variables between wide and long format. Visual acuity conversion is based on Schulze-Bonsel et al. (2006) , Gregori et al. (2010) , Beck et al. (2003) and Bach (2007) .
How to cite:
Tjebo Heeren (2020). eye: Analysis of Eye Data. R package version 1.2.1, https://cran.r-project.org/web/packages/eye. Accessed 07 May. 2025.
Previous versions and publish date:
0.1.0 (2020-06-25 14:20), 1.0.0 (2021-01-07 17:10), 1.0.1 (2021-01-10 15:20), 1.1.0 (2021-03-08 15:22), 1.2.0 (2021-03-22 06:10)
Other packages that cited eye R package
View eye citation profile
Other R packages that eye depends, imports, suggests or enhances
Complete documentation for eye
Downloads during the last 30 days
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