standardize {rexposome} | R Documentation

## #' Summary of an ExposomeSet. #' #' Given an ExposomeSet is shows a summary for its exposures or #' its phenotypes. #' #' @name Summary #' @rdname Summary-methods #' @aliases Summary #' @param object codeExposomeSet with 'set' will be summarized. #' @param set Set to be sumarized (`"exposures"` or `"phenotypes"`). #' @param select Subseting of exposures of phenotypes. #' @return A basic description of the exposures in the `ExposomeSet` #' @examples #' data("exposome") #' Summary(expo, set = "exposures") #' @export Summary setGeneric("Summary", function(object, set=c("exposures", "phenotypes"), select) standardGeneric("Summary") ) Standardize of an ExposomeSet.

### Description

Given an ExposomeSet it standardizes the exposures by using mean/sd if method is `"normal"` or by using median/mad if method is `"robust"`.

### Usage

    standardize(object, select, method = "normal", na.rm = TRUE, warnings = TRUE)

### Arguments

`object` | `ExposomeSet` with exposures to be standardized.
`select` | Subseting of exposures of phenotypes.
`method` | (default `"normal"`) Character selecting the method to be applied (`"normal"` `"iqr"` or `"robust"`).
`na.rm` | (by default `TRUE`) Removes NA data to perform standardization.
`warnings` | (defaulr `TRUE`) If set to `FALSE` warnings are not shown.

### Value

An `ExposomeSet` with the selected exposures standardized and keeping the others exposures as the original input object.

### See Also

highAndLow to transform the continuous exposures to levelled factors, trans to transform the exposures

### Examples

    data("exposome")
    exp.sn <- standardize(expo, method = "normal", select = "lbde100_lip")
    exp.rs <- standardize(expo, method = "iqr", select = "lbde100_lip")
    exp.rs <- standardize(expo, method = "robust", select = "lbde100_lip")

[Package rexposome version 1.16.0 Index]