imputeLOD: Function to impute values under limit of detection

In isglobal-brge/rexposome: Exposome exploration and outcome data analysis

Function to impute values under limit of detection

Description

Homologous function to the ilod method of ExposomeSet for a given data.frame of exposures and a vector of threshold. The use of this function is related to HELIX Project.

Usage

imputeLOD(
  x,
  lod,
  description = NULL,
  pNA = 0.2,
  pLOD = 0,
  log = TRUE,
  seed = NULL
)

Arguments

x	data.frame containing the exposures as columns and the samples as rows.
lod	vectro containing the
description	1 means values under LOD while 2 means quantifiable value, 3
pNA	(default: 0.2) maximum percentage of allowed missing data
pLOD	(default: 0) minimum percentave of values under LOD
log	(default: NA) log transformation to normalize data
seed	(default: NULL)

Value

A new data.frame with the imputed exposures.

Examples

## Not run: 
inma.imp <- imputeLOD(x = raw, lod = lod, description = desc,
     pNA = pNA, pLOD = pLOD, log = log, seed = seed)

## End(Not run)

isglobal-brge/rexposome documentation built on Feb. 4, 2023, 12:35 p.m.