ROC(sensR)
ROC()所属R语言包：sensR
Plot the Receiver Operating Characteristic Curve
绘制受试者工作特征曲线
译者：生物统计家园网 机器人LoveR
描述----------Description----------
The function computes and plots the empirical ROC (receiver operating characteristic) curve.
该函数计算并绘制经验的ROC曲线（受试者工作特征）。
用法----------Usage----------
ROC(object, ...)
## Default S3 method:[默认方法]
ROC(object, se.d, scale = 1, length = 1000,
fig = TRUE, se.type = c("CI", "SE"), CI.alpha = 0.05, ...)
## S3 method for class 'anota'
ROC(object, length = 1000, fig = TRUE,
se.type = c("CI", "SE"), CI.alpha = 0.05, ...)
参数----------Arguments----------
参数：object
the class of the object defines, which of the methods is invoked. If obejct is a single element numeric vector it is taken as a d-prime value and the default method is invoked. If the object is of class anota, the method for anota objects is invoked.
该对象的类的定义，被调用的方法中的哪一个。如果obejct是一个单一的元素数值向量，它被当作一个D-黄金的价值，默认的方法被调用。如果对象是类anota“的方法anota对象被调用。
参数：se.d
a unit length vector with the standard error of d-prime. If supplied confidence intervals or standard errors are plotted
参数：scale
a unit length vector giving the ratio of scale (ie. standard deviation) of the latent distribution for the no-class items relative to that of the yes-class items
单位长度矢量提供的潜在分布的无级项目规模之比（即标准差）相对的是一流的项目
参数：length
the length of the vectors to be plotted. Longer vectors gives more smooth curves.
矢量的长度被绘制。更长的向量提供了更平滑的曲线。
参数：fig
Should a plot be produced?
如果图产生的呢？
参数：se.type
The type of band for the ROC curve, "CI" for confidence interval and "SE" for standard error.
带型的ROC曲线，"CI"置信区间和"SE"标准错误的。
参数：CI.alpha
the type I level of the confidence interval of AUC
I型水平的置信区间AUC
参数：...
additional arguments to plot and lines
额外的参数plot和lines
Details
详细信息----------Details----------
The function currently ignores the variance of the scale in the computation of the uncertainty of the ROC curve.
目前的功能忽略了变异的规模计算的ROC曲线的不确定性。
值----------Value----------
The function makes a plot of the ROC curve, and if se.d is supplied, standard errors or confidence intervals for the curve are added to the plot.
该功能使得ROC曲线图，如果se.d提供，标准误或置信区间的曲线被添加到图。
The function also (invisibly) returns a list with the following components <table summary="R valueblock"> <tr valign="top"><td>ROCx</td> <td> x-coordinates to the ROC curve</td></tr> <tr valign="top"><td>ROCy</td> <td> y-coordinates to the ROC curve</td></tr>
的功能（不可见）返回一个列表以下组件<table summary="R valueblock"> <tr valign="top"> <TD>ROCx </ TD> <TD>的X坐标ROC曲线</ TD> </ TR> <tr valign="top"> <TD>ROCy </ TD> <TD> y坐标的ROC曲线</ TD> </ TR>
</table> If se.d is supplied, the object also contains <table summary="R valueblock"> <tr valign="top"><td>lower</td> <td> y-coordinates to the lower limit</td></tr> <tr valign="top"><td>upper</td> <td> y-coordinates to the upper limit</td></tr> </table>
</ table>如果se.d提供，该对象还包含表summary="R valueblock"> <tr valign="top"> <TD>lower </ TD> <TD>Ÿ坐标的下限</ TD> </ TR> <tr valign="top"> <TD>upper </ TD> <TD> y坐标的上限</ TD> </ TR> </ TABLE>
（作者）----------Author(s)----------
Rune Haubo B Christensen
实例----------Examples----------
## ROC.default:[＃ROC.default：]
(mat <- matrix(c(8, 17, 1, 24), 2, byrow = TRUE))
(d.prime <- SDT(mat, "probit")[3])
ROC(d.prime)
## ROC.anota:[＃ROC.anota：]
fm1 <- AnotA(8, 25, 1, 25)
ROC(fm1)
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 2012-9-30 01:08:07
