| ROC {cellHTS} | R Documentation |
The function ROC construct an object of S3 class ROC,
which represents a receiver-operator-characteristic curve,
from the data of the annotated positive and negative controls in a
scored cellHTS object.
ROC(x, positives, negatives) ## S3 method for class 'ROC': plot(x, col="darkblue", type="l", main = "ROC curve", ...) ## S3 method for class 'ROC': lines(x, ...)
x |
a cellHTS object that has already been scored (see details). |
positives |
a list or vector of regular expressions specifying the name of the positive controls.
See the details for the argument posControls of writeReport function. |
negatives |
a vector of regular expressions specifying the name of the negative controls.
See the details for the argument negControls of writeReport function. |
col |
the graphical parameter for color; see par for details. |
type |
the graphical parameter giving the type of plot desired; see par for details. |
main |
the graphical parameter giving the desired title of plot; see par for details. |
... |
other graphical parameters as in par may be also passed as arguments. |
The cellHTS object x must contain a slot called score,
and selection proceeds from large to small values of this score.
Furthermore, x is expected to contain positive and negative
controls annotated in the slot wellAnno with the values of
the arguments positives and negatives, respectively.
If the assay is a two-way experiment, positives should be a list with components act
and inh, specifying the name of the activators, and inhibitors, respectively. In this case, the ROC cureve is constructed based on the absolute values of x$score.
An S3 object of class ROC. There are methods
plot.ROC and lines.ROC.
Ligia P. Bras ligia@ebi.ac.uk
data(KcViabSmall)
## Not run:
x <- normalizePlates(KcViabSmall, normalizationMethod="median", zscore="-")
x <- summarizeReplicates(x)
y <- ROC(x)
plot(y)
lines(y)
## End(Not run)