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R语言 TreeSim包 sim.bd.taxa()函数中文帮助文档(中英文对照)

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发表于 2012-10-1 11:52:31 | 显示全部楼层 |阅读模式
sim.bd.taxa(TreeSim)
sim.bd.taxa()所属R语言包:TreeSim

                                        sim.bd.taxa: Simulating birth-death trees on a fixed number of extant taxa
                                         sim.bd.taxa:模拟一个固定数量的现存类群的出生与死亡的树木

                                         译者:生物统计家园网 机器人LoveR

描述----------Description----------

sim.bd.taxa simulates trees on n species under the constant rate birth-death process. The method allows for incomplete sampling, i.e. (i) only a fixed fraction of all extant tips is included in the sampled tree or (ii) each tip from a big tree is included with a fixed probability. In both cases, the tree is conditioned to have n tips after sampling.
sim.bd.taxa下的恒定速率生灭过程的模拟N种上的树木。该方法允许不完整的采样,即(i)只有一个固定的分数是所有现存的提示中包含的采样树,或(ii)每个从一棵大树的顶端有固定的概率。在这两种情况下,树的条件是具有n个采样后的提示。


用法----------Usage----------


sim.bd.taxa(n, numbsim, lambda, mu, frac = 1, complete = TRUE,
stochsampling = FALSE)



参数----------Arguments----------

参数:n
Number of extant sampled leaves
现存的采样叶数


参数:numbsim
Number of trees to simulate
树木的数量模拟


参数:lambda
Speciation rate
形态率


参数:mu
Extinction rate
消光率


参数:frac
When complete = FALSE: Sampling fraction: If stochsampling=FALSE: The actual number of tips is n/frac, but only n tips are included (incomplete sampling). If stochsampling=TRUE: Each tip is included into the final tree with probability frac. When complete = TRUE: all extinct and non-sampled lineages are included, i.e. the tree has n/frac extant leaves.
完成时= FALSE:抽样比:stochsampling如果= FALSE的秘诀是n /压裂的实际数量,但只有n个技巧(不完全抽样)。如果stochsampling = TRUE:每头进入决赛的概率压裂树。当完成时= TRUE:全部灭绝和非抽样谱系的,即树有n个,/压裂现存叶子。


参数:complete
If TRUE, the tree with the extinct and non-sampled lineages is returned. If FALSE, the extinct lineages are suppressed.
如果返回TRUE,树的灭绝和非抽样谱系的。如果为FALSE,已经灭绝的血统被抑制。


参数:stochsampling
See frac.
请参阅压裂。


值----------Value----------


参数:out[[1]]
List of numbsim simulated trees with n extant sampled leaves
有n个现存的采样叶numbsim模拟树木名单


参数:out[[2]]
Vector of age of trees (time to root plus length of edge above root)
向量的树龄(根际以上的时间来根加边缘的长度)


注意----------Note----------

For stochsampling = TRUE: The algorithm is fast for the critical process, lambda=mu.
对于stochsampling = TRUE:该算法的关键过程是快速,λ=亩。


(作者)----------Author(s)----------


Tanja Stadler



参考文献----------References----------




参见----------See Also----------

sim.bd.age, sim.rateshift.taxa, sim.gsa.taxa, birthdeath.tree
sim.bd.age,sim.rateshift.taxa,sim.gsa.taxa,birthdeath.tree


实例----------Examples----------


n<-10
lambda <- 2.0
mu <- 0.5
frac <-0.6
numbsim<-2

##[#]
# Simulating numbsim trees with n species under a birth-death process with [N种模拟numbsim树木,下一个生灭过程]
# speciation rate lambda an extinction rate mu:[形态率的lambda的灭绝率万亩:]

sim.bd.taxa(n,numbsim,lambda,mu)

# Each extant species is included in final tree with probability frac [每一个现存的物种被列入最终的概率压裂树]
# (the tree has n species AFTER sampling):[(树有N种采样后):]

sim.bd.taxa(n,numbsim,lambda,mu,frac,complete=FALSE,stochsampling=TRUE)

# A fraction frac of the extant species is included into the final tree [一小部分压裂现存的物种被纳入到最终的树]
# (the tree has n species AFTER sampling):[(树有N种采样后):]

sim.bd.taxa(n,numbsim,lambda,mu,frac,complete=FALSE,stochsampling=FALSE)


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。
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