plotROC {RNAmodR} | R Documentation

## ROCR functions for `Modifier` and `ModifierSet` objects

### Description

`plotROC` streamlines labeling, prediction, performance and plotting functions to test the peformance of a `Modifier` object and the data analyzed via the functionallity from the `ROCR` package.

The data from `x` will be labeled as positive using the `coord` arguments. The other arguments will be passed on to the specific `ROCR` functions.

By default the `prediction.args` include three values:

- `measure = "tpr"`

- `x.measure = "fpr"`

- `score = mainScore(x)`

The remaining arguments are not predefined.

### Usage

    plotROC(x, coord, ...)

    ## S4 method for signature 'Modifier'
    plotROC(
      x,
      coord,
      score = NULL,
      prediction.args = list(),
      performance.args = list(),
      plot.args = list()
    )

    ## S4 method for signature 'ModifierSet'
    plotROC(
      x,
      coord,
      score = NULL,
      prediction.args = list(),
      performance.args = list(),
      plot.args = list()
    )

### Arguments

`x` | a `Modifier` or a `ModifierSet` object
`coord` | coordinates of position to label as positive. Either a `GRanges` or a `GRangesList` object. For both types the Parent column is expected to match the gene or transcript name.
`...` | additional arguments
`score` | the score identifier to subset to, if multiple scores are available.
`prediction.args` | arguments which will be used for calling `prediction` form the `ROCR` package
`performance.args` | arguments which will be used for calling `performance` form the `ROCR` package
`plot.args` | arguments which will be used for calling `plot` on the performance object of the `ROCR` package. If multiple scores are plotted (for example if the score argument is not explicitly set) `add = FALSE` will be set.

### Value

a plot send to the active graphic device

### References

Tobias Sing, Oliver Sander, Niko Beerenwinkel, Thomas Lengauer (2005): "ROCR: visualizing classifier performance in R." Bioinformatics 21(20):3940-3941 DOI: 10.1093/bioinformatics/bti623

### Examples

    data(msi,package="RNAmodR")
    # constructing a GRanges obejct to mark positive positions
    mod <- modifications(msi)
    coord <- unique(unlist(mod))
    coord$score <- NULL
    coord$sd <- NULL
    # plotting a TPR vs. FPR plot per ModInosine object
    plotROC(msi[[1]],coord)
    # plotting a TPR vs. FPR plot per ModSetInosine object
    plotROC(msi,coord)

[Package RNAmodR version 1.1.15 Index]