pretreatment_data: Pre-process data by re-sampling all columns.

In wfinsinger/tapas: Trend And PeAkS analysis in paleo-ecological time series

Pre-process data by re-sampling all columns.

Description

Uses the tapas::pretreatment() function to virtually re-sample time series at equal sampling intervals.

Usage

pretreatment_data(
  series = NULL,
  out = "accI",
  interp_missing = TRUE,
  series.name = NA,
  first = NULL,
  last = NULL,
  yrInterp = NULL
)

Arguments

series	A matrix with the following first columns: c("CmTop", "CmBot", "AgeTop", "AgeBot", "Volume") and additional columns with the data which should be resampled.
out	Desired return value: "accI" the function returns resampled accumulation rates "conI" the function returns resampled concentrations "countI" the function returns resampled counts
interp_missing	Logical. Specifies whether the function interpolates missing values. By default interp_missing = TRUE. Missing values are identified when the value of a variable is equal to -999 or NA, or when the sample Volume = 0.
series.name	A string defining typically the site name. Defaults to NA.
first, last	Age boundaries of the resampled time serie. If unspecified (first=NULL and last=NULL), then resampling is done over the entire sequence, from min(series$AgeTop) to max(series$AgeBot).
yrInterp	Resolution of the resampled timeseries.

Value

A list with the resampled (binned) data according to out parameter.

Author(s)

Walter Finsinger

Examples

co <- tapas::co_char_data
co_i <- tapas::pretreatment_data(co)

wfinsinger/tapas documentation built on Aug. 22, 2024, 4:28 a.m.