ROC-class: Class that contain data that can be plotted as a ROC curve.
In cellHTS2: Analysis of cell-based screens - revised version of cellHTS

Description Creating Objects Slots Methods Author(s) See Also Examples

Container for data that represent a receiver-operator-characteristic curve, and that were generated from the data of the annotated positive and negative controls in a scored cellHTS object.

new("ROC")

ROC(object, positives, negatives) with object being an cellHTS instance.

name:: a character of length 1 with the name of the experiment from which the ROC object derives.
assayType:: a character of length 1 with the type of screenning assay. Possible values are: "one-way assay" and "two-way assay".
TP:: a vector of integers of length 1000.
FP:: a vector of integers of length 1000.
posNames:: a character vector with the name of the positive controls.
negNames:: a character vector with the name of the negative controls.

show: Print a summary of the object.
plot: Plot the ROC curve corresponding to the object.
lines: Line plot of the ROC object.

Ligia Bras ligia@ebi.ac.uk, Wolfgang Huber huber@ebi.ac.uk

ROC

    showClass("ROC")
    showMethods(class="ROC")
  
    ## Not run: 
    data(KcViabSmall)
    x <- normalizePlates(KcViabSmall, scale="multiplicative", log=FALSE, method="median", varianceAdjust="none")
    x <- scoreReplicates(x, sign="-", method="zscore")
    x <- summarizeReplicates(x, summary="mean")
    y <- ROC(x)
    plot(y)
    lines(y, col="green")
    show(y)
    
## End(Not run)