tweedie.plot(tweedie)
tweedie.plot()所属R语言包：tweedie
Tweedie Distributions: plotting
特威迪分布：绘制
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Plotting Tweedie density and distribution functions
绘图特威迪密度和分布函数
用法----------Usage----------
tweedie.plot(y, xi, mu, phi, type="pdf", power=NULL, add=FALSE, ...)
参数----------Arguments----------
参数：y
vector of values at which to evaluate and plot
向量的值，以评价和绘制
参数：xi
the value of xi such that the variance is var(Y) = phi * mu^xi
值的方差是xi等var(Y) = phi * mu^xi
参数：power
a synonym for xi
的代名词xi，
参数：mu
the mean
的意思
参数：phi
the dispersion
分散
参数：type
what to plot: pdf (the default) means the probability function, or cdf, the cumulative distribution function
图：pdf（默认值）指的概率函数，或cdf，累计分布函数
参数：add
if TRUE, the plot is added to the current device; if FALSE (the default), a new plot is produced
如果TRUE，该图添加到当前的设备;如果FALSE（默认值），一个新的绘图制作
参数：...
Arguments to be passed to the plotting method
参数被传递到绘图方法
Details
详细信息----------Details----------
For details, see dtweedie
有关详细信息，请参阅dtweedie
值----------Value----------
this function is usually called for side-effect of producing a plot of the specified Tweedie distribution, properly plotting the exact zero that occurs at y=0 when 1<p<2. However, it also produces a list with the computed density at the given points, with components y and x respectively, such that plot(y~x) approximately reproduces the plot.
此功能通常被称为副作用产生一个指定的Tweedie分布图，绘制出精确的零发生在y=01<p<2。然而，它也产生一个列表，在给定的点的计算密度，与组件y和x分别，例如，plot(y~x)约再现的图。
（作者）----------Author(s)----------
Peter Dunn (<a href="mailto:pdunn2@usc.edu.au">pdunn2@usc.edu.au</a>)
参考文献----------References----------
Evaluation of Tweedie exponential dispersion model densities by Fourier inversion. Statistics and Computing, 18, 73–86.
Series evaluation of Tweedie exponential dispersion model densities Statistics and Computing, 15(4). 267–280.
Tweedie family densities: methods of evaluation. Proceedings of the 16th International Workshop on Statistical Modelling, Odense, Denmark, 2–6 July
Exponential dispersion models. Journal of the Royal Statistical Society, B, 49, 127–162.
Theory of Dispersion Models. Chapman and Hall, London.
Numerical calculation of stable densities and distribution functions. Communication in Statistics—Stochastic models, 13(4). 759–774.
The numerical evaluation of very oscillatory infinite integrals by extrapolation. Mathematics of Computation 38(158), 517–529.
A user-friendly extrapolation method for oscillatory infinite integrals. Mathematics of Computation 51(183), 249–266.
An index which distinguishes between some important exponential families. Statistics: Applications and New Directions. Proceedings of the Indian Statistical Institute Golden Jubilee International Conference (Eds. J. K. Ghosh and J. Roy), pp. 579-604. Calcutta: Indian Statistical Institute.
参见----------See Also----------
dtweedie
dtweedie
实例----------Examples----------
### Plot a Tweedie density with 1<p<2[＃＃绘制一个特威迪密度，1 <p <2时]
yy <- seq(0,5,length=100)
tweedie.plot( power=1.7, mu=1, phi=1, y=yy, lwd=2)
tweedie.plot( power=1.2, mu=1, phi=1, y=yy, add=TRUE, lwd=2, col="red")
legend("topright",lwd=c(2,2), col=c("black","red"), pch=c(19,19),
legend=c("p=1.7","p=1.2") )
### Plot distribution functions[＃＃图分布函数]
tweedie.plot( power=1.05, mu=1, phi=1, y=yy,
lwd=2, type="cdf", ylim=c(0,1))
tweedie.plot( power=2, mu=1, phi=1, y=yy,
add=TRUE, lwd=2, type="cdf",col="red")
legend("bottomright",lwd=c(2,2), col=c("black","red"),
legend=c("p=1.05","p=2") )
### Now, plot two densities, combining p>2 and 1<p<2[＃＃现在，积两个密度，结合p> 2时，1 <p <2时]
tweedie.plot( power=3.5, mu=1, phi=1, y=yy, lwd=2)
tweedie.plot( power=1.5, mu=1, phi=1, y=yy, lwd=2, col="red", add=TRUE)
legend("topright",lwd=c(2,2), col=c("black","red"), pch=c(NA,19),
legend=c("p=3.5","p=1.5") )
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。
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发表于 2012-10-1 13:09:00
