sdnv: standard deviations of normative values

Description Usage Arguments Details Value Author(s) See Also

View source: R/sdnv.R

Description

get the standard deviations at each location for normative values: sensitivities, total-deviation, and pattern-deviation values

Usage

1
sdnv( vf, smooth = TRUE, smoothFunction = quad2Dfit )

Arguments

vf

vf-object with sensitivity thresholds

smooth

whether to use a function to smooth the results or not. Default is TRUE

smoothFunction

If smooth is true, the function to use for smoothing. Default is quad2Dfit, a 2D quadratic fit to resulting data. This function is not really a smoothing procedure, but a parametric fit

Details

calculates total-deviation and pattern-deviation values and, from them, their standard deviation at each location

Value

returns a 3-column data frame with SDs per location. Each row is a location. Column 1 is for sensitivities, column 2 for total deviation, and column 3 for pattern deiation.

Author(s)

Ivan Marin-Franch

See Also

ageLinearModel, locperc, quad2Dfit


visualFields documentation built on June 17, 2021, 5:06 p.m.