reliability.plot(verification)
reliability.plot()所属R语言包：verification
Reliability Plot
可靠性图
译者：生物统计家园网 机器人LoveR
描述----------Description----------
A reliability plot is a simple form of an attribute diagram that depicts the performance of a probabilistic forecast for a binary event. In this diagram, the forecast probability is plotted against the observed relative frequency. Ideally, this value should be near to each other and so points falling on the 1:1 line are desirable. For added information, if one or two forecasts are being verified, sharpness diagrams are presented in the corners of the plot. Ideally, these histograms should be relatively flat, indicating that each bin of probabilities is use
一个的可靠性图是一个简单的形式的属性图，描绘了一个二进制事件的概率预测的性能。在此图中，预测概率绘制对所观察到的相对频率。在理想的情况下，这个值应该接近对方，所以下降的1:1线的理想。添加的信息，如果一个或两个预测都被验证，锐度图在角落里的图。理想的情况是，这些直方图应该是相对平坦的，表明各bin中的可能性是使用
用法----------Usage----------
## Default S3 method:
reliability.plot(x, obar.i, prob.y, titl = NULL, legend.names = NULL, ... )
## S3 method for class 'verify'
reliability.plot(x, ...)
参数----------Arguments----------
参数：x
Forecast probabilities.(y_i) or a “prob.bin” class object from verify.
预测概率（y_i）或“prob.bin”类的对象从verify。
参数：obar.i
Observed relative frequency \bar{o}_i.
观察到的相对频率\bar{o}_i。
参数：prob.y
Relative frequency of forecasts
预测的相对频率
参数：titl
Title
标题
参数：legend.names
Names of each model that will appear in the legend.
每个模型的名称将出现在传说中。
参数：...
Graphical parameters.
图形参数。
Details
详细信息----------Details----------
This function works either by entering vectors or
此功能可以通过输入向量或
注意----------Note----------
If a single prob.bin class object is used, a reliability plot along with a sharpness diagram is displayed. If two forecasts are provided in the form of a matrix of predictions, two sharpness diagrams are provided. If more forecasts are
如果一个单一的prob.bin类对象时，沿与锐度图显示的可靠性曲线。如果两个预测中所提供的预测的矩阵的形式，两个锐度图中所提供的。如果有更多的预测
（作者）----------Author(s)----------
Matt Pocernich <pocernic@rap.ucar.edu>
参考文献----------References----------
Chapter 7, San Diego: Academic Press.
实例----------Examples----------
## Data from Wilks, table 7.3 page 246.[＃威尔克斯，第246页表7.3中的数据。]
y.i <- c(0,0.05, seq(0.1, 1, 0.1))
obar.i <- c(0.006, 0.019, 0.059, 0.15, 0.277, 0.377, 0.511, 0.587, 0.723, 0.779, 0.934, 0.933)
prob.y<- c(0.4112, 0.0671, 0.1833, 0.0986, 0.0616, 0.0366, 0.0303, 0.0275, 0.245, 0.022, 0.017, 0.203)
obar<- 0.162
reliability.plot(y.i, obar.i, prob.y, titl = "Test 1", legend.names =
c("Model A") )
## Function will work with a ``prob.bin'' class object as well.[＃函数将一个prob.bin“类对象。]
## Note this is a very bad forecast.[＃请注意，这是一个非常糟糕的预测。]
obs<- round(runif(100))
pred<- runif(100)
A<- verify(obs, pred, frcst.type = "prob", obs.type = "binary")
reliability.plot(A, titl = "Alternative plot")
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 2012-10-1 15:23:13
