Learn R Programming
photobiology (version 0.11.4)

valleys: Valleys or local minima

Description

Function that returns a subset of an R object with observations corresponding to local maxima.

Usage

valleys(x, span, ignore_threshold, strict, ...)
# S3 method for default
valleys(x, span = NA, ignore_threshold = NA, strict = NA, na.rm = FALSE, ...)
# S3 method for default
valleys(x, span = NA, ignore_threshold = NA, strict = NA, na.rm = FALSE, ...)
# S3 method for numeric
valleys(x, span = 5, ignore_threshold, strict = TRUE, na.rm = FALSE, ...)
# S3 method for data.frame
valleys(
  x,
  span = 5,
  ignore_threshold = 0,
  strict = TRUE,
  na.rm = FALSE,
  x.var.name = NULL,
  y.var.name = NULL,
  var.name = y.var.name,
  refine.wl = FALSE,
  method = "spline",
  ...
)
# S3 method for generic_spct
valleys(
  x,
  span = 5,
  ignore_threshold = 0,
  strict = TRUE,
  na.rm = FALSE,
  var.name = NULL,
  refine.wl = FALSE,
  method = "spline",
  ...
)
# S3 method for source_spct
valleys(
  x,
  span = 5,
  ignore_threshold = 0,
  strict = TRUE,
  na.rm = FALSE,
  unit.out = getOption("photobiology.radiation.unit", default = "energy"),
  refine.wl = FALSE,
  method = "spline",
  ...
)
# S3 method for response_spct
valleys(
  x,
  span = 5,
  ignore_threshold = 0,
  strict = TRUE,
  na.rm = FALSE,
  unit.out = getOption("photobiology.radiation.unit", default = "energy"),
  refine.wl = FALSE,
  method = "spline",
  ...
)
# S3 method for filter_spct
valleys(
  x,
  span = 5,
  ignore_threshold = 0,
  strict = TRUE,
  na.rm = FALSE,
  filter.qty = getOption("photobiology.filter.qty", default = "transmittance"),
  refine.wl = FALSE,
  method = "spline",
  ...
)
# S3 method for reflector_spct
valleys(
  x,
  span = 5,
  ignore_threshold = 0,
  strict = TRUE,
  na.rm = FALSE,
  refine.wl = FALSE,
  method = "spline",
  ...
)
# S3 method for solute_spct
valleys(
  x,
  span = 5,
  ignore_threshold = 0,
  strict = TRUE,
  na.rm = FALSE,
  refine.wl = FALSE,
  method = "spline",
  ...
)
# S3 method for cps_spct
valleys(
  x,
  span = 5,
  ignore_threshold = 0,
  strict = TRUE,
  na.rm = FALSE,
  var.name = "cps",
  refine.wl = FALSE,
  method = "spline",
  ...
)
# S3 method for raw_spct
valleys(
  x,
  span = 5,
  ignore_threshold = 0,
  strict = TRUE,
  na.rm = FALSE,
  var.name = "counts",
  refine.wl = FALSE,
  method = "spline",
  ...
)
# S3 method for generic_mspct
valleys(
  x,
  span = 5,
  ignore_threshold = 0,
  strict = TRUE,
  na.rm = FALSE,
  var.name = NULL,
  refine.wl = FALSE,
  method = "spline",
  ...,
  .parallel = FALSE,
  .paropts = NULL
)
# S3 method for source_mspct
valleys(
  x,
  span = 5,
  ignore_threshold = 0,
  strict = TRUE,
  na.rm = FALSE,
  unit.out = getOption("photobiology.radiation.unit", default = "energy"),
  refine.wl = FALSE,
  method = "spline",
  ...,
  .parallel = FALSE,
  .paropts = NULL
)
# S3 method for response_mspct
valleys(
  x,
  span = 5,
  ignore_threshold = 0,
  strict = TRUE,
  na.rm = FALSE,
  unit.out = getOption("photobiology.radiation.unit", default = "energy"),
  refine.wl = FALSE,
  method = "spline",
  ...,
  .parallel = FALSE,
  .paropts = NULL
)
# S3 method for filter_mspct
valleys(
  x,
  span = 5,
  ignore_threshold = 0,
  strict = TRUE,
  na.rm = FALSE,
  filter.qty = getOption("photobiology.filter.qty", default = "transmittance"),
  refine.wl = FALSE,
  method = "spline",
  ...,
  .parallel = FALSE,
  .paropts = NULL
)
# S3 method for reflector_mspct
valleys(
  x,
  span = 5,
  ignore_threshold = 0,
  strict = TRUE,
  na.rm = FALSE,
  refine.wl = FALSE,
  method = "spline",
  ...,
  .parallel = FALSE,
  .paropts = NULL
)
# S3 method for solute_mspct
valleys(
  x,
  span = 5,
  ignore_threshold = 0,
  strict = TRUE,
  na.rm = FALSE,
  refine.wl = FALSE,
  method = "spline",
  ...,
  .parallel = FALSE,
  .paropts = NULL
)
# S3 method for cps_mspct
valleys(
  x,
  span = 5,
  ignore_threshold = 0,
  strict = TRUE,
  na.rm = FALSE,
  var.name = "cps",
  refine.wl = FALSE,
  method = "spline",
  ...,
  .parallel = FALSE,
  .paropts = NULL
)
# S3 method for raw_mspct
valleys(
  x,
  span = 5,
  ignore_threshold = 0,
  strict = TRUE,
  na.rm = FALSE,
  var.name = "counts",
  refine.wl = FALSE,
  method = "spline",
  ...,
  .parallel = FALSE,
  .paropts = NULL
)

Value

A subset of x with rows corresponding to local minima.

Arguments

x

an R object

span

integer A valley is defined as an element in a sequence which is smaller than all other elements within a window of width span centered at that element. Use NULL for the global peak.

ignore_threshold

numeric Value between 0.0 and 1.0 indicating the relative size compared to tallest peak threshold below which peaks will be ignored. Negative values set a threshold so that the tallest peaks are ignored, instead of the shortest.

strict

logical If TRUE, an element must be strictly greater than all other values in its window to be considered a peak.

...

ignored

na.rm

logical indicating whether NA values should be stripped before searching for peaks.

var.name, x.var.name, y.var.name

character Name of column where to look for valleys.

refine.wl

logical Flag indicating if valley location should be refined by fitting a function.

method

character String with the name of a method. Currently only spline interpolation is implemented.

unit.out

character One of "energy" or "photon"

filter.qty

character One of "transmittance" or "absorbance"

.parallel

if TRUE, apply function in parallel, using parallel backend provided by foreach

.paropts

a list of additional options passed into the foreach function when parallel computation is enabled. This is important if (for example) your code relies on external data or packages: use the .export and .packages arguments to supply them so that all cluster nodes have the correct environment set up for computing.

Methods (by class)

  • valleys(default): Default function usable on numeric vectors.

  • valleys(default): Default returning always NA.

  • valleys(numeric): Default function usable on numeric vectors.

  • valleys(data.frame): Method for "data.frame" objects.

  • valleys(generic_spct): Method for "generic_spct" objects.

  • valleys(source_spct): Method for "source_spct" objects.

  • valleys(response_spct): Method for "response_spct" objects.

  • valleys(filter_spct): Method for "filter_spct" objects.

  • valleys(reflector_spct): Method for "reflector_spct".

  • valleys(solute_spct): Method for "solute_spct" objects.

  • valleys(cps_spct): Method for "cps_spct" objects.

  • valleys(raw_spct): Method for "raw_spct" objects.

  • valleys(generic_mspct): Method for "generic_mspct" objects.

  • valleys(source_mspct): Method for "source_mspct" objects.

  • valleys(response_mspct): Method for "cps_mspct" objects.

  • valleys(filter_mspct): Method for "filter_mspct" objects.

  • valleys(reflector_mspct): Method for "reflector_mspct" objects.

  • valleys(solute_mspct): Method for "solute_mspct" objects.

  • valleys(cps_mspct): Method for "cps_mspct" objects.

  • valleys(raw_mspct): Method for "raw_mspct" objects.

See Also

Other peaks and valleys functions: find_peaks(), find_spikes(), get_peaks(), peaks(), replace_bad_pixs(), spikes(), wls_at_target()

Examples

Run this code
valleys(sun.spct, span = 50)

valleys(sun.spct)

Run the code above in your browser using DataLab