get the standard deviations at each location for normative values: sensitivities, total-deviation, and pattern-deviation values
sdnv( vf, smooth = TRUE, smoothFunction = quad2Dfit )vf-object with sensitivity thresholds
whether to use a function to smooth the results or not. Default is TRUE
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
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.
calculates total-deviation and pattern-deviation values and, from them, their standard deviation at each location