hyperSpec: spc.NA.approx – R documentation

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spc.NA.approx

Impute missing data points

Description

Replace NAs in the spectra matrix by interpolation. With less than 4 points available linear interpolation of the 2 neighbour points is used. For larger numbers of neighbour points, smoothing interpolation is performed by smooth.spline.

Usage

spc.NA.approx(
  spc,
  neighbours = 1,
  w = rep(1, 2 * neighbours),
  df = 1 + .Machine$double.eps,
  spar = NULL,
  debuglevel = hy.getOption("debuglevel")
)

spc.NA.linapprox(...)

Arguments

`spc`	hyperSpec object with spectra matrix containing `NA`s
`neighbours`	how many neighbour data points should be used to fit the line
`w, df, spar`	see `smooth.spline`
`debuglevel`	see `options`
`...`	ignored

Value

hyperSpec object

Note

The function has been renamed from spc.NA.linapprox to spc.NA.approx

Author(s)

Claudia Beleites

Examples

fluNA <- hyperSpec:::fluNA
spc.NA.approx (fluNA [,, min ~ 410], debuglevel = 1)
spc.NA.approx (fluNA [1,, min ~ 410], debuglevel = 2)
spc.NA.approx (fluNA [4,, min ~ 410], neighbours = 3, df = 4, debuglevel = 2)

hyperSpec

Work with Hyperspectral Data, i.e. Spectra + Meta Information (Spatial, Time, Concentration, ...)

v0.100.0

GPL (>= 3)

Authors

Claudia Beleites [aut, cre, dtc] (<https://orcid.org/0000-0003-1626-154X>), Valter Sergo [aut], Alois Bonifacio [ctb, dtc], Marcel Dahms [ctb], Björn Egert [ctb], Simon Fuller [ctb], Vilmantas Gegzna [ctb], Rustam Guliev [ctb], Bryan A. Hanson [ctb], Michael Hermes [ctb], Martin Kammer [dtc], Roman Kiselev [ctb], Sebastian Mellor [ctb]

Initial release

2021-09-13