rexposome {rexposome} | R Documentation

## rexposome: Package for exposome exploration and outcome data analysis

### Description

#' @section exposures loading and exposures managment: `rexposome` offers two methods to bring exposome data to R and Bioconductor. `readExposome` allows to read three txt-like files (`.csv`, `.tsv`, ...) while `loadExposome` is sued with `matrix` and `data.frame`s. The class obtained is an `ExposomeSet`, a class based in `eSet` for exposome data managment.

### exposures processing

The packages offers a wide set of functions to preprocess exposome data. Method `trans` allow to transforms the exposures, method `normalityTest` allows to check for normality in exposome, `standardize` allows to standardize the exposures, among others. Finally, `impute` and `ilod` allow tu use `mice`, `Hmisc` and `imputeLCMD` for exposure missing data and exposure under-lod data imputation.

### exposures analyses

the two methods `exwas` and `mexwas` allows to test the association between exposures and health outcomes (phenotpe data).

### exposures plotting

The methods `plotFamily` allows to see how the exposures behaves within families. `plotCorrelation` helps to understand how exposures are related between themselves. `plotClassification` allos to visually detect cuslters of samples that share the same pattern of levels of exposures.

[Package rexposome version 1.16.0 Index]