simulation.plot(scaRabee)
simulation.plot()所属R语言包：scaRabee
Create Simulation Plots
建立模拟图
译者：生物统计家园网 机器人LoveR
描述----------Description----------
simulation.plot is a secondary function called at the end of the simulation runs. It generates overlay plots of model predictions and observations for all the output system states and for each subject in the analysis. If the analysis is run at the population level, only one set of plots is generated. See vignette('scaRabee',package='scaRabee') for more details. simulation.plot is typically not called directly by users.
simulation.plot是一个二次函数调用结束时的模拟运行。它产生的所有输出系统状态和每个科目的分析模型的预测和观察的覆盖图。如果分析在群体水平上运行，只有一组图。见vignette('scaRabee',package='scaRabee')更多详情。 simulation.plot通常不直接调用用户。
用法----------Usage----------
simulation.plot(problem = NULL,
simdf = NULL,
files = NULL)
参数----------Arguments----------
参数：problem
A list containing the following levels:
一个列表，其中包含以下几个层次：
codeA list of R code extracted from the model file. Depending on content of the model file, the levels of this list could be: template, derived, lags, ode, dde, output, variance, and/or secondary.
codeA列表R代码从模型文件中提取。根据不同的模型文件的内容，这个列表可能是模板，派生，滞后，ODE，DDE输出，方差，和/或次要的。
dataA list which content depends on the scope of the analysis. If the analysis was run at the level of the subject, data contains as many levels as the number of subjects in the dataset, plus the ids level containing the vector of identification numbers of all subjects included in the analysis population. If the analysis was run at the level of the population, data contains only one level of data and ids is set to 1. Each subject-specific level contains as many levels as there are treatment levels for this subject, plus the trts level listing all treatments for this subject, and the id level giving the identification number of the subject. Each treatment-specific levels is a list containing the following levels:
DATAA列表的内容取决于分析的范围。如果分析被运行在被检体的水平，data中的数据集的数量的受试者包含尽可能多的水平，加上ids水平含有向量的所有主题的识别号码包含在分析人口。如果分析在人口水平运行，data只包含一个电平的数据和ids被设置为1。每个特定主题的多层次，有对这个问题的处理水平，加上trts级以上市对这个问题的所有治疗，和id水平的标识号的主题。每一个具体的治疗水平是一个列表，其中包含以下几个层次：
cov mij x 3 data.frame containing the times of observations of the dependent variables (extracted from the TIME variable), the indicators of the type of dependent variables (extracted from the CMT variable), and the actual dependent variable observations (extracted from the DV variable) for this particular treatment and this particular subject.
覆盖MIJ×3数据框的类型相关的变量（CMT变量提取），而实际的因变量的观测指标（含观测到的因变量（从时间变量中提取）的时代，提取的DV变量）这个特殊的处理，这特定主题。
covmij x c data.frame containing the times of observations of the dependent variables (extracted from the TIME variable) and all the covariates identified for this particular treatment and this particular subject.
covmij XC数据框包含因变量（从时间变量中提取）和这个特殊的治疗和这个特定的主题确定为所有的协变量的观测时间。
bolusbij x 4 data.frame providing the instantaneous inputs for a treatment and individual.
bolusbij×4的数据框提供的治疗和个人的瞬时输入。
infusionfij x (4+c) data.frame providing the zero-order inputs for a treatment and individual.
infusionfij×（4 + c的）数据框提供零阶的输入处理和个人。
trtthe particular treatment identifier.
trtthe特别治疗标识符。
methodA character string, indicating the scale of the analysis. Should be 'population' or 'subject'.
了methodA字符串，表示规模的分析。应该是“人口”或“主题”。
initA data.frame of parameter data with the following columns: 'names', 'type', 'value', 'isfix', 'lb', and 'ub'.
INITA数据框的参数数据有以下几列：名称，类型，价值，isfix，磅，和UB。
debugmodeLogical indicator of debugging mode.
除错模式的debugmodeLogical指标。
modfunModel function.
modfunModel功能。
参数：simdf
A data.frame of simulated and observed data typically created by simulation.report and containing the following columns:
通常创建的simulation.report和数据框的模拟和观测数据包含以下几列：
IDSubject Identifier. If the analysis is run at the population level and if the original dataset contained multiple subjects distinguished by a different ID number, please note that the original ID is lost and replaced by 1 so that all available data is considered to come from the same subject.
IDSubject标识符。如果分析在群体水平上运行，如果原始数据集包含多个主题，区分不同的ID号，请注意，原来的ID丢失和替换1，以便所有可用的数据被认为是来自同一主题。
TRTIndicator of treatment level (defining the sub-problems).
TRTIndicator治疗水平（定义的子问题）。
CMTIndicator of system state to which the simulated or observed value is associated.
CMTIndicator的系统状态，或观察到的模拟值相关联的。
TIMETime of the observation or model prediction.
TIMETime观察或模型预测。
SIMValue of the simulated state. NA if DV is not NA.
模拟状态下SIMValue的。 NA如果DV是不适用的。
DVValue of the observed state. NA if SIM is not NA.
观察状态DVValue的。 NA如果SIM卡是不适用的。
参数：files
A list of input used for the analysis. The following elements are expected and none of them could be null:
用于分析的输入的列表。预计下列元素和他们没有可能为空：
dataA .csv file located in the working directory, which contains the dosing information, the observations of the dependent variable(s) to be modeled, and possibly covariate information. The expected format of this file is described in details in vignette('scaRabee', package='scaRabee').
DATAA。csv文件的工作目录，其中包含的剂量信息，（因变量）的意见进行建模，以及可能的协变量的信息。该文件格式的细节vignette('scaRabee', package='scaRabee')。
paramA .csv file located in the working directory, which contains the initial guess(es) for the model parameter(s) to be optimized or used for model simulation. The expected format of this file is described in details in vignette('scaRabee',package='scaRabee').
帕拉马。csv文件的工作目录，其中包含了最初的猜测（ES）进行优化或用于模型仿真模型参数（S）。该文件格式的细节vignette('scaRabee',package='scaRabee')。
modelA text file located in the working directory, which defines the model. Models specified with explicit, ordinary or delay differential equations are expected to respect a certain syntax and organization detailed in vignette('scaRabee',package='scaRabee').
MODELA工作目录中的文本文件，它定义了模型。指定明确的，普通或延迟微分方程模型应尊重一定的语法和组织中详述vignette('scaRabee',package='scaRabee')。
iterA .csv file reporting the values of the objective function and estimates of model parameters at each iteration. (Not used for simulation runs).
迭代。csv文件报告在每次迭代的目标函数和模型参数的估计值。 （不用于模拟运行）。
reportA text file reporting for each individual in the dataset the final parameter estimates for structural model parameters, residual variability and secondary parameters as well as the related statistics (coefficients of variation, confidence intervals, covariance and correlation matrix). (Not used for simulation runs).
reportA文本文件报告为每个数据集的结构模型参数，剩余的可变性和次要参数以及相关的统计数据（系数的变化，置信区间，协方差和相关矩阵）的最后一个参数估计。 （不用于模拟运行）。
predA .csv file reporting the predictions and calculated residuals for each individual in the dataset. (Not used for simulation runs).
报告的预测和计算残差的每一个人在该数据集的捕食者。csv文件。 （不用于模拟运行）。
estA .csv file reporting the final parameter estimates for each individual in the dataset. (Not used for simulation runs).
ESTA。csv文件，报告的最后一个参数估计为每个数据集。 （不用于模拟运行）。
simA .csv file reporting the simulated model predictions for each individual in the dataset. (Not used for estimation runs).
司马。csv文件报告为每个数据集模拟模型的预测结果。 （不用于估计运行）。
（作者）----------Author(s)----------
Sebastien Bihorel (<a href="mailto:sb.pmlab@gmail.com">sb.pmlab@gmail.com</a>)
参见----------See Also----------
simulation.report
simulation.report
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 2012-9-29 22:48:31
