vfspa: Series Progession Analysis

Description

Generation of one-page reports of series progression analyses

vfspa saves a pdf with one-page reports of series progression analyses
vfspashiny generates interactive one-page reports of series progression analyses based on Shiny

Usage

vfspa(
  vf,
  file,
  type = "td",
  nperm = factorial(7),
  trunc = 1,
  testSlope = 0,
  ...
)
vfspashiny(
  vf,
  type = "td",
  nperm = factorial(7),
  trunc = 1,
  testSlope = 0,
  ...
)

Value

No return value

Arguments

vf: visual field data
file: The pdf file name where to save the one-page reports of single field analysis
type: Type of data to use. It can be `s`, `td`, or `pd`.
nperm: Number of permutations. Default is 7!
trunc: value for the Truncated Product Method (see reference). Default is 1
testSlope: slope, or slopes, to test as null hypothesis. Default is 0. if a single value, then the same null hypothesis is used for all locations. If a vector of values, then (for plr and poplr) each location of the visual field will have a different null hypothesis. The length of testSlope must be 1 or equal to the number of locations to be used in the PLR or PoPLR analysis
...: other graphical arguments

References

N. O'Leary, B. C. Chauhan, and P. H. Artes. Visual field progression in glaucoma: estimating the overall significance of deterioration with permutation analyses of pointwise linear regression (PoPLR). Investigative Ophthalmology and Visual Science, 53, 2012