siarsolomcmcv4(siar)
siarsolomcmcv4()所属R语言包：siar
MCMC for stable isotope data with only single target organisms
MCMC稳定同位素数据只有单一的靶标生物
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Runs an MCMC on stable isotope data from certain organisms to determine their dietary habits. This version requires only a single target organism per group
运行MCMC从某些生物的稳定同位素数据，以确定自己的饮食习惯。此版本只需要一个单一的靶标生物的每个组
用法----------Usage----------
siarsolomcmcv4(data, sources, corrections = 0, concdep = 0, iterations=200000, burnin=50000, howmany=10000, thinby=15, prior = rep(1, nrow(sources)), siardata=list(SHOULDRUN=FALSE))
参数----------Arguments----------
参数：data
A matrix with each food source as a seperate row and each isotope as a seperate column.
作为一个单独的行和每一同位素作为一个单独的列的矩阵，每个食物来源。
参数：sources
A matrix containing the mean and standard deviations of the fractionated correction values for each of the isotopes. Also allows corrections = 0 for pre-corrected data.
A矩阵含有每种同位素分馏校正的值的平均值和标准偏差。还允许更正= 0对于预校正的数据。
参数：corrections
A matrix containing the mean and standard deviations of the fractional correction values for each of the isotopes. Also allows corrections = 0 for pre-corrected data.
A矩阵含有每种同位素的小数的修正值的平均值和标准偏差。还允许更正= 0对于预校正的数据。
参数：concdep
A matrix containing the mean and standard deviations of the concentration dependence values for each of the isotopes. Also allows concdep = 0 for data with no required concentration dependence. Note that version 4.0 does not use the standard deviations.
A矩阵含有的浓度依赖性的平均值和标准偏差的值，用于每种同位素。也可以让concdep = 0的数据没有所需的浓度依赖性。需要注意的是版本4.0不使用的标准偏差。
参数：iterations
The number of iterations to run.
运行的迭代次数。
参数：burnin
The size of the burnin
燃尽的大小
参数：howmany
How often to report the number of iterations.
如何经常报告的迭代次数。
参数：thinby
The amount of thinning of the iterations.
量迭代变薄。
参数：prior
The dirichlet distribution prior parameters, the default is rep(1,numsources). New parameters can be estimated via the function siarelicit.
Dirichlet分布的先验参数，默认值是：代表（1，“numsources”）。的新参数，可以通过函数siarelicit估计。
参数：siardata
A list containing some or all of the following parts: targets, sources, corrections, PATH, TITLE, numgroups, numdata, numsources, numiso, SHOULDRUN, GRAPHSONLY, EXIT, and output. For more details of these inputs see the siarmenu function.
一个列表，其中包含以下几部分组成：目标，消息人士透露，更正，PATH，TITLE，numgroups，numdata，numsources，numiso，SHOULDRUN，GRAPHSONLY，EXIT，输出的部分或全部。这些输入的详细信息，请参阅siarmenu功能。
Details
详细信息----------Details----------
The model assumes that each target value comes from a Gaussian distribution with an unknown mean and standard deviation. The structure of the mean is a weighted combination of the food sources' isotopic values. The weights are made up dietary proportions (which are given a Dirichlet prior distribution) and the concentration depdendencies given for the different food sources. The standard deviation is divided up between the uncertainty around the fractionation corrections (if corrections are given) and the natural variability between target individuals within a defined group (or between all individuals if no grouping structure is specified). The default iterations numbers work well for the demo data sets, but advanced users will want to adjust them to suit their analysis.
该模型假定各目标值来自一个未知的均值和标准差的高斯分布。的平均值的结构的食物来源的同位素值的加权组合。的权重是由的饮食比例（给出的Dirichlet先验分布）和浓度depdendencies给出的不同的食物来源。标准偏差分为周围的分馏校正（补正）之间的不确定性和目标内定义的一组（或个人所有个人之间，如果没有指定分组结构）之间的自然变化。预设的迭代的数字工作以及为演示数据集，但高级用户将要对它们进行调整，以适应他们的分析。
Note that this version is analagous to the Moore and Semmens (2008) MixSIR model except with a Dirichlet prior distribution.
请注意，这个版本很是类似摩尔和塞门斯（2008年）的Dirichlet先验分布除了与MixSIR模型。
值----------Value----------
A parameter matrix consisting of (iterations-burnin)/thinby rows with numgroups*(numsources+numiso) columns, where numsources is the number of food sources, numiso is the number of isotopes, and numgroups is the number of groups. The parameter matrix is structured so that, for each group, the first columns are those of the proportions of each food source eaten, the next columns are the standard deviations for each isotope. This format repeats across rows to each group. The parameters may then subsequently be used for plotting, convergence checks, summaries, etc, etc.
的参数组成的矩阵（迭代的燃尽）/ thinby的与numgroups行的*（numsources + numiso）列，其中numsources是多少的食物来源，numiso同位素的数量，和numgroups的组数。因此，为每个组中，第一列是那些每个吃过的食物源的比例参数矩阵结构，下一个列的标准偏差为每个同位素。重复此格式跨行到每个组。参数可以随后用于绘图，收敛检查，总结，等等，等等。
（作者）----------Author(s)----------
Andrew Parnell
参考文献----------References----------
Ecology Letters.
参见----------See Also----------
siarmenu, siarelicit
siarmenu，siarelicit
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 02:02:47
