plausibility_methods: Plausibility checking

In eye: Analysis of Eye Data

Description

S3 methods for checking plausibility of VA entries

Usage

checkVA(x, ...)

## S3 method for class 'quali'
checkVA(x, ...)

## S3 method for class 'snellen'
checkVA(x, ...)

## S3 method for class 'snellendec'
checkVA(x, ...)

## S3 method for class 'logmar'
checkVA(x, ...)

## S3 method for class 'etdrs'
checkVA(x, ...)

## Default S3 method:
checkVA(x, ...)

Arguments

x	vector of visual acuities
...	further arguments passed to methods

Value

vector with visual acuity of class va. See also "VA classes"

Plausibility checks

VA can be snellen (fraction: feet/meter), snellen decimal, logMAR, ETDRS, or "qualitative" (Counting fingers, etc.)

• Snellen fractions need to be either form 6/x or 20/x

• Snellen decimal must be > 0 and <= 2

• ETDRS must be >= 0 and <= 100

• logMAR must be >= -0.3 and <= 3.0

• Qualitative must be PL, LP, NLP, NPL, HM, CF (any case allowed)

Any element which is implausible / not recognized will be converted to NA

See Also

Other VA converter: VAwrapper, snellen_steps, va_methods, va_mixed(), va(), which_va()

eye documentation built on Sept. 5, 2021, 5:25 p.m.