R语言 distr包 Lnorm-class()函数中文帮助文档(中英文对照)

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Lnorm-class(distr)
Lnorm-class()所属R语言包：distr

                                        Class "Lnorm"
                                         类“Lnorm”

                                         译者：生物统计家园网 机器人LoveR

描述----------Description----------

The log normal distribution has density
对数正态分布密度


类对象----------Objects from the Class----------

Objects can be created by calls of the form Lnorm(meanlog, sdlog). This object is a log normal distribution.
可以创建对象通过调用的形式Lnorm(meanlog, sdlog)。这个对象是一个对数正态分布。


插槽----------Slots----------

  


imgObject of class "Reals": The space of the image of this distribution has got dimension 1 and the name "Real Space".  
img类的对象"Reals"：空间分布的图像，这已经得到了尺寸1和“真实空间”的名称。

paramObject of class "LnormParameter": the parameter of this distribution (meanlog and sdlog), declared at its instantiation  
param类的对象"LnormParameter"：这个分布的参数（meanlog和sdlog），在其实例的声明

rObject of class "function": generates random numbers (calls function rlnorm)
r类的对象"function"：产生随机数（调用函数rlnorm）

dObject of class "function": density function (calls function dlnorm)
d类的对象"function"：密度函数（调用函数dlnorm）

pObject of class "function": cumulative function (calls function plnorm)
p类的对象"function"：累计功能（通话功能plnorm）

qObject of class "function": inverse of the cumulative function (calls function qlnorm)
q类的对象"function"：逆累计功能（通话功能qlnorm）

.withArithlogical: used internally to issue warnings as to  interpretation of arithmetics
.withArith逻辑：在内部使用发出警告的算术解释

.withSimlogical: used internally to issue warnings as to  accuracy
.withSim逻辑：在内部使用发出警告，准确性

.logExactlogical: used internally to flag the case where  there are explicit formulae for the log version of density, cdf, and  quantile function
.logExact逻辑：内部使用，用于标记的情况下有明确的公式的log版本的密度，民防部队和分位数函数

.lowerExactlogical: used internally to flag the case where  there are explicit formulae for the lower tail version of cdf and quantile  function
.lowerExact逻辑：在内部使用标记的情况下，下尾版本的累积分布函数和分位数的功能有明确的公式

Symmetryobject of class "DistributionSymmetry"; used internally to avoid unnecessary calculations.   
Symmetry类的对象"DistributionSymmetry";内部使用，以避免不必要的计算。


扩展----------Extends----------

Class "AbscontDistribution", directly.<br> Class "UnivariateDistribution", by class "AbscontDistribution".<br> Class "Distribution", by class "AbscontDistribution".
类"AbscontDistribution"，直接。<BR>的类"UnivariateDistribution"，"AbscontDistribution"类"Distribution"。参考类，类"AbscontDistribution"。


方法----------Methods----------

  


initializesignature(.Object = "Lnorm"): initialize method  
初始化signature(.Object = "Lnorm")：初始化方法

meanlogsignature(object = "Lnorm"): returns the slot meanlog of the parameter of the distribution  
meanlogsignature(object = "Lnorm")：返回槽meanlog分布参数

meanlog<-signature(object = "Lnorm"): modifies the slot meanlog of the parameter of the distribution  
meanlog < - signature(object = "Lnorm")：修改插槽meanlog的参数的分布

sdlogsignature(object = "Lnorm"): returns the slot sdlog of the parameter of the distribution  
sdlogsignature(object = "Lnorm")：返回槽sdlog分布参数

sdlog<-signature(object = "Lnorm"): modifies the slot sdlog of the parameter of the distribution  
sdlog < - signature(object = "Lnorm")：修改插槽sdlog的参数的分布

*signature(e1 = "Lnorm", e2 = "numeric"): For the Lognormal distribution we use its closedness under positive scaling transformations.   
*signature(e1 = "Lnorm", e2 = "numeric")：我们使用的对数正态分布下的闭积极的缩放变换。


注意----------Note----------

The mean is E(X) = exp(&mu; + 1/2 &sigma;^2), and the variance      Var(X) = exp(2*mu + sigma^2)*(exp(sigma^2) - 1) and hence the coefficient of variation is sqrt(exp(sigma^2) - 1) which is approximately &sigma; when that is small (e.g., &sigma; < 1/2).
均值是E(X) = exp(&mu; + 1/2 &sigma;^2)，方差     Var(X) = exp(2*mu + sigma^2)*(exp(sigma^2) - 1)和因此的变异系数是sqrt(exp(sigma^2) - 1)这是约&sigma;小时（例如，&sigma; < 1/2） 。


（作者）----------Author(s)----------



Thomas Stabla <a href="mailto:statho3@web.de">statho3@web.de</a>,<br>
Florian Camphausen <a href="mailto:fcampi@gmx.de">fcampi@gmx.de</a>,<br>
Peter Ruckdeschel <a href="mailtoeter.Ruckdeschel@itwm.fraunhofer.de">eter.Ruckdeschel@itwm.fraunhofer.de</a>,<br>
Matthias Kohl <a href="mailto:Matthias.Kohl@stamats.de">Matthias.Kohl@stamats.de</a>




参见----------See Also----------

LnormParameter-class AbscontDistribution-class Reals-class rlnorm
LnormParameter-classAbscontDistribution-classReals-classrlnorm


实例----------Examples----------


L &lt;- Lnorm(meanlog=1,sdlog=1) # L is a lnorm distribution with mean=1 and sd=1.[L是lnorm的分布，平均= 1，SD = 1。]
r(L)(1) # one random number generated from this distribution, e.g. 3.608011[从这个分布中产生一个随机数，例如3.608011]
d(L)(1) # Density of this distribution is 0.2419707 for x=1.[这个分布的密度是0.2419707为x = 1。]
p(L)(1) # Probability that x&lt;1 is 0.1586553.[x <1的概率是0.1586553。]
q(L)(.1) # Probability that x&lt;0.754612 is 0.1.[概率是x <0.754612为0.1。]
meanlog(L) # meanlog of this distribution is 1.[meanlog这个分布是1。]
meanlog(L) &lt;- 2 # meanlog of this distribution is now 2.[现在，这种分布是meanlog的2。]

转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。


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