loadImputed {rexposome} | R Documentation

## Creation of an imExposomeSet from `data.frames`

### Description

Given a `data.frame` from `code` with the multiple imputations of both exposures and phenotypes, join with a `data.frame` with exposures' description, and object of class `imExposomeSet` is created.

### Usage

    loadImputed(data, description, description.famCol = "family",
      description.expCol = "exposure", exposures.asFactor = 5,
      warnings = TRUE)

### Arguments

`data` | The `data.frame` of both exposures and phentoypes obtained from `mice`.
`description` | `data.frame` with the description of the exposures (relation between exposures and exposure-family).
`description.famCol` | (default `"family"`) Index where the family's name (per exposures) if found in file "description". It can be both numeric or character.
`description.expCol` | (default `"exposures"`) Index where the exposure's name if found in file "description". It can be both numeric or character.
`exposures.asFactor` | (default `5`) The exposures with more than this number of unique items will be considered as "continuous" while the exposures with less or equal number of items will be considered as "factor".
`warnings` | (default `TRUE`) If `TRUE` shows useful information/warnings from the process of loading the exposome.

### Details

The coordination of the information is based in the columns `.imp` and `.id` from the `data.frame` obtained from `mice`. The division of exposures and phenotypes is based in description `data.frame`, that are the exposures. Hence, the elements in the main `data.frame` that are not in the description, are the phentoypes.

### Value

An object of class imExposomeSet.

### See Also

imExposomeSet for class description

### Examples

    data("me") # me is an imputed matrix of exposure and phenotyes
    path <- file.path(path.package("rexposome"), "extdata")
    description <- file.path(path, "description.csv")
    dd <- read.csv(description, header=TRUE, stringsAsFactors=FALSE)
    dd <- dd[dd$Exposure %in% colnames(me), ]
    ex_imp <- loadImputed(data = me, description = dd,
    description.famCol = "Family",
    description.expCol = "Exposure")

[Package rexposome version 1.9.0 Index]