R: Method reconstruction_error

reconstruction_error,dimRedResult-method {dimRed} | R Documentation

## Method reconstruction_error

### Description

Calculate the error using only the first `n` dimensions of the embedded data. `error_fun` can either be one of `c("rmse", "mae")` to calculate the root mean square error or the mean absolute error respectively, or a function that takes to equally sized vectors as input and returns a single number as output.

### Usage

    ## S4 method for signature 'dimRedResult'
    reconstruction_error(object,
      n = seq_len(ndims(object)), error_fun = "rmse")

### Arguments

`object` | of class dimRedResult
`n` | a positive integer or vector of integers `<= ndims(object)`
`error_fun` | a function or string indicating an error function.

### Value

a vector of number with the same length as `n` with the

### Author(s)

Guido Kraemer

### See Also

Other Quality scores for dimensionality reduction: `AUC_lnK_R_NX,dimRedResult-method`, `LCMC,dimRedResult-method`, `Q_NX,dimRedResult-method`, `Q_global,dimRedResult-method`, `Q_local,dimRedResult-method`, `R_NX,dimRedResult-method`, `cophenetic_correlation,dimRedResult-method`, `distance_correlation,dimRedResult-method`, `mean_R_NX,dimRedResult-method`, `quality,dimRedResult-method`, `reconstruction_rmse,dimRedResult-method`, `total_correlation,dimRedResult-method`

### Examples

    ## Not run:
    ir <- loadDataSet("Iris")
    ir.drr <- embed(ir, "DRR", ndim = ndims(ir))
    ir.pca <- embed(ir, "PCA", ndim = ndims(ir))

    rmse <- data.frame(
      rmse_drr = reconstruction_error(ir.drr),
      rmse_pca = reconstruction_error(ir.pca)
    )

    matplot(rmse, type = "l")
    plot(ir)
    plot(ir.drr)
    plot(ir.pca)

    ## End(Not run)

[Package dimRed version 0.1.0 Index]