ROC(cellHTS2)
ROC()所属R语言包：cellHTS2
Creates an object of class "ROC" which can be plotted as a ROC curve
创建一个类的“中华民国”，它可以作为一个ROC曲线绘制的对象
译者：生物统计家园网 机器人LoveR
描述----------Description----------
The function ROC construct an object of S4 class ROC, which represents a receiver-operator-characteristic curve, from the data of the annotated positive and negative controls in a scored cellHTS object.
函数ROCS4类ROC，它代表一个接收操作特性曲线，从1拿下cellHTS对象的正面和负面的注解控制的数据，构建对象。
用法----------Usage----------
## S4 method for signature 'cellHTS'
ROC(object, positives, negatives)
## S4 method for signature 'ROC,missing'
plot(x, col="darkblue", type="l", main = "ROC curve", ...)
## S4 method for signature 'ROC'
lines(x, ...)
参数----------Arguments----------
参数：object
a cellHTS object which replicate data have already been scored and summarized (see details).
cellHTS对象复制数据已经取得和总结（见详情）。
参数：positives
a list or vector of regular expressions specifying the name of the positive control(s). See the details for the argument posControls of writeReport function. The default is "^pos$".
正则表达式指定的阳性对照（S）的名称列表或向量。看到参数细节posControlswriteReport功能。“默认"^pos$"。
参数：negatives
a vector of regular expressions specifying the name of the negative control(s). See the details for the argument negControls of writeReport function. The default is "^neg$".
一个正则表达式的向量指定的负面控制（S）的名称。看到参数细节negControlswriteReport功能。“默认"^neg$"。
参数：x
a ROC object obtained using function ROC.
ROC对象获得使用功能ROC。
参数：col
the graphical parameter for color; see par for details.
彩色图形参数;par详情。
参数：type
the graphical parameter giving the type of plot desired; see par for details.
提供所需的图类型的图形参数;par详情。
参数：main
the graphical parameter giving the desired title of plot; see par for details.
图给予所需的标题图形参数;par详情。
参数：...
other graphical parameters as in par may be also passed as arguments.
par其他图形参数也可以作为参数传递。
Details
详情----------Details----------
The cellHTS object object must be already scored (state(object)["scored"]=TRUE), and selection proceeds from large to small values of this single per-probe score. Furthermore, object is expected to contain positive and negative controls annotated in the column controlStatus of the featureData slot - which can be accessed via wellAnno(object). The arguments positives and negatives should be given as regular expression patterns specifying the name of the positive(s) and negative(s) controls, respectivey. By default, if positives is not given, pos will be taken as the name for the wells containing positive controls. Similarly, if negatives is missing, by default neg will be considered as the name used to annotate the negative controls. The content of posControls and negControls are passed to regexpr for pattern matching within the well annotation (see examples for summarizeChannels). If the assay is a two-way experiment, positives should be a list with components act
cellHTS对象object必须已经取得（state(object)["scored"]=TRUE），并选择从大到这个单一的每个探针得分小值收益。此外，objectcontrolStatusfeatureData插槽 - 这可以通过wellAnno(object)访问预计将包含列中注明的阳性和阴性对照。论据positives和negatives应定为正则表达式模式（S）的积极和消极的（S）控制，respectivey指定名称。默认情况下，如果positives没有给出，POS将视为包含阳性对照井的名称。同样，如果negatives缺少，默认情况下，NEG将被视为阴性对照用来注释的名称。内容posControls和negControls是通过内以及注释模式匹配regexpr（见summarizeChannels）。如果检测是双向的实验中，positives应该与组件act列表
值----------Value----------
An S4 object of class ROC. There are methods show,
类ROC的S4对象。有方法show
作者（S）----------Author(s)----------
Ligia P. Bras <a href="mailto:ligia@ebi.ac.uk">ligia@ebi.ac.uk</a>
举例----------Examples----------
data(KcViabSmall)
x <- normalizePlates(KcViabSmall, scale="multiplicative", log=FALSE, method="median", varianceAdjust="byExperiment")
x <- scoreReplicates(x, sign="-", method="zscore")
x <- summarizeReplicates(x, summary="mean")
y <- ROC(x)
plot(y)
lines(y, col="green")
show(y)
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
注1：为了方便大家学习，本文档为生物统计家园网机器人LoveR翻译而成，仅供个人R语言学习参考使用，生物统计家园保留版权。
注2：由于是机器人自动翻译，难免有不准确之处，使用时仔细对照中、英文内容进行反复理解，可以帮助R语言的学习。
注3：如遇到不准确之处，请在本贴的后面进行回帖，我们会逐渐进行修订。
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发表于 2012-2-25 14:18:13
