curvep: The Curvep function to process one set of...

In Rcurvep: Concentration-Response Data Analysis using Curvep

The Curvep function to process one set of concentration-response data

Description

The relationship between concentration and response has to be 1 to 1. The function is the backbone of run_rcurvep() and combi_run_rcurvep().

Usage

curvep(
  Conc,
  Resp,
  Mask = NULL,
  TRSH = 15,
  RNGE = -100,
  MXDV = 5,
  CARR = 0,
  BSFT = 3,
  USHP = 4,
  TrustHi = FALSE,
  StrictImp = TRUE,
  DUMV = -999,
  TLOG = -24,
  ...
)

Arguments

Conc	Array of concentrations, e.g., in Molar units, can be log-transformed, in which case internal log-transformation is skipped.
Resp	Array of responses at corresponding concentrations, e.g., raw measurements or normalized to controls.
Mask	array of 1/0 flags indicating invalidated measurements (default = NULL).
TRSH	Base(zero-)line threshold (default = 15).
RNGE	Target range of responses (default = -100).
MXDV	Maximum allowed deviation from monotonicity (default = 5).
CARR	Carryover detection threshold (default = 0, analysis skipped if set to 0). CARR is defined as a maximum expected magnitude of artifact response; it should be higher than baseline TRSH value, curves with active signal above baseline but below CARR at first few doses will be considered as carry-over cases. Also, curves with responses above CARR are treated as potent.
BSFT	For baseline shift issue, min.#points to detect baseline shift (default = 3, analysis skipped if set to 0).
USHP	For u-shape curves, min.#points to avoid flattening (default = 4, analysis skipped if set to 0).
TrustHi	For equal sets of corrections, trusts those retaining measurements at high concentrations (default = FALSE).
StrictImp	It prevents extrapolating over concentration-range boundaries; used for POD, ECxx etc (default = TRUE).
DUMV	A dummy value, default = -999.
TLOG	A scaling factor for calculating the wAUC, default = -24.
...	allow other parameters to pass

Value

A list with corrected concentration-response measurements and several calculated curve metrics.

• resp: corrected responses

• corr: flags for corrections

• ECxx: effective concentration values at various thresholds

• Cxx: concentrations for various absolute response levels

• Emax: maximum effective concentration, slope of the mid-curve (b/w EC25 and EC75)

• wConc: response-weighted concentration

• wResp: concentration-weighed response

• POD: point-of-departure (first concentration with response >TRSH)

• AUC: area-under-curve (in units of log-concentration X response)

• wAUC: AUC weighted by concentration range and POD / TLOG (-24)

• wAUC_pre: AUC weighted by concentration range and POD

• nCorrected: number of points corrected (basically, sum of flags in corr)

• Comments: warning and notes about the dose-response curve

• Settings: input parameters for this run

References

\insertRef

PMID:20980217Rcurvep

\insertRef

PMID:27518631Rcurvep

See Also

run_rcurvep() and combi_run_rcurvep()

Examples

curvep(Conc = c(-8, -7, -6, -5, -4) , Resp = c(0, -3, -5, -15, -30))

Rcurvep documentation built on June 8, 2025, 11:21 a.m.