ROC-class {cellHTS2} | R Documentation |
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
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)