getTrainData {MOFA} | R Documentation

## getTrainData

### Description

Fetch the training data

### Usage

    getTrainData(object, views = "all", features = "all",
      as.data.frame = FALSE)

### Arguments

`object` | a `MOFAmodel` object.
`views` | character vector with the view name(s), or numeric vector with the view index(es). Default is "all".
`features` | list of character vectors with the feature names or list of numeric vectors with the feature indices. Default is "all"
`as.data.frame` | logical indicating whether to return a long data frame instead of a list of matrices. Default is `FALSE`.

### Details

By default this function returns a list where each element is a data matrix with dimensionality (D,N) where D is the number of features and N is the number of samples.
Alternatively, if `as.data.frame` is `TRUE`, the function returns a long-formatted data frame with columns (view,feature,sample,value).

### Value

A list with one numeric matrix per view, containing the parsed data used to fit the MOFA model.

### Examples

    data("scMT_data", package = "MOFAdata")
    MOFAobject <- createMOFAobject(scMT_data)
    trainData_scMT <- getTrainData(MOFAobject, as.data.frame = FALSE)
    (trainData_scMT[["RNA expression"]])[1:10,1:10]

    data("CLL_data", package = "MOFAdata")
    MOFAobject <- createMOFAobject(CLL_data)
    trainData_CLL <- getTrainData(MOFAobject, as.data.frame = TRUE)
    head(trainData_CLL)

[Package MOFA version 1.6.2 Index]