embed {dimRed} | R Documentation

## dispatches the different methods for dimensionality reduction

### Description

wraps around all dimensionality reduction functions.

### Usage

    embed(.data, ...)

    ## S4 method for signature 'formula'
    embed(.formula, .data, .method = dimRedMethodList(),
      .mute = character(0), .keep.org.data = TRUE, ...)

    ## S4 method for signature 'ANY'
    embed(.data, .method = dimRedMethodList(),
      .mute = character(0), .keep.org.data = TRUE, ...)

    ## S4 method for signature 'dimRedData'
    embed(.data, .method = dimRedMethodList(),
      .mute = character(0), .keep.org.data = TRUE, ...)

### Arguments

`.data` | object of class `dimRedData`, will be converted to be of class `dimRedData` if necessary; see examples for details.
`...` | the parameters, internally passed as a list to the dimensionality reduction method as `pars = list(...)`
`.formula` | a formula, see `as.dimRedData`.
`.method` | character vector naming one of the dimensionality reduction techniques.
`.mute` | a character vector containing the elements you want to mute (`c("message", "output")`), defaults to `character(0)`.
`.keep.org.data` | `TRUE`/`FALSE` keep the original data.

### Details

Method must be one of `dimRedMethodList()`, partial matching is performed. All parameters start with a dot, to avoid clashes with partial argument matching (see the R manual section 4.3.2), if there should ever occur any clashes in the arguments, call the function with all arguments named, e.g. `embed(.data = dat, .method = "mymethod", .d = "some parameter")`.

### Value

an object of class `dimRedResult`

### Methods (by class)

- `formula`: embed a data.frame using a formula.

- `ANY`: Embed anything as long as it can be coerced to `dimRedData`.

- `dimRedData`: Embed a dimRedData object

### Examples

    ## embed a data.frame using a formula:
    as.data.frame(
      embed(Species ~ Sepal.Length + Sepal.Width + Petal.Length + Petal.Width,
            iris, "PCA")
    )

    ## embed a data.frame and return a data.frame
    as.data.frame(embed(iris[, 1:4], "PCA"))

    ## embed a matrix and return a data.frame
    as.data.frame(embed(as.matrix(iris[, 1:4]), "PCA"))

    ## Not run:
    ## embed dimRedData objects
    embed_methods <- dimRedMethodList()
    quality_methods <- dimRedQualityList()
    dataset <- loadDataSet("Iris")

    quality_results <- matrix(NA, length(embed_methods), length(quality_methods),
                                  dimnames = list(embed_methods, quality_methods))
    embedded_data <- list()

    for (e in embed_methods) {
      message("embedding: ", e)
      embedded_data[[e]] <- embed(dataset, e, .mute = c("message", "output"))
      for (q in quality_methods) {
        message("  quality: ", q)
        quality_results[e, q] <- tryCatch(
          quality(embedded_data[[e]], q),
          error = function(e) NA
        )
      }
    }

    print(quality_results)

    ## End(Not run)

[Package dimRed version 0.2.2 Index]