spa: Series Progession Analysis

Description Usage Arguments Value References

Description

Generation of one-page reports of series progression analyses

Usage

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

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

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

Value

No return value

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

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


visualFields documentation built on Aug. 17, 2021, 1:06 a.m.