scarabee.read.data(scaRabee)
scarabee.read.data()所属R语言包：scaRabee
Read scaRabee Data File
阅读SCARABEE数据文件
译者：生物统计家园网 机器人LoveR
描述----------Description----------
scarabee.read.data is a secondary function called at each scaRabee run. It reads and processes the data contained in the specified data file.scarabee.read.data is typically not called directly by users.
scarabee.read.data在每一个scaRabee的run函数调用是次要的。它读取和处理在指定的数据文件中包含的数据。scarabee.read.data通常不直接调用用户。
用法----------Usage----------
scarabee.read.data(files = NULL,
method = NULL)
参数----------Arguments----------
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）。
参数：method
A character string, indicating the scale of the analysis. Should be 'population' or 'subject'.
一个字符串，表示规模的分析。应该是“人口”或“主题”。
值----------Value----------
Return a list with 2 levels:
返回一个列表2级：
data A 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.
数据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。
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.
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。
Each treatment-specific levels is a list containing the following levels:
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
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，提取的变量）的DV为这个特定的治疗和这个特定
cov mij 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
覆盖MIJ XC数据框包含因变量的观测时间（从时间变量中提取）和这个特殊的待遇，这对所有的协变量
bolus bij x 4 data.frame providing the instantaneous inputs for
丸BIJ×4数据框提供的瞬时输入
infusion fij x (4+c) data.frame providing the zero-order inputs for
输注FIJ×（4 + c的）数据框提供零阶的输入
trt the particular treatment identifier.
TRT的特定的治疗标识符。
new A logical indicator defining whether or not a modified data file has been created based upon the original file. This is the case if and if only the time of first data record for one or more individuals in the original data file is not 0. The new data file is created such as the TIME variable is modified so that time of the first data record for all individuals is 0; the time of later records is modified accordingly.
根据原始文件的一个修改后的数据文件是否已创建新的逻辑指标限定。这是一个的情况下，如果和如果只有第一数据记录在原始数据文件中的一个或多个个体的时间不为0。如创建新的数据文件被修改，以便为所有个人的第一数据记录的时间为0的TIME变量，相应的购买记录被修改的时间。
（作者）----------Author(s)----------
Sebastien Bihorel (<a href="mailto:sb.pmlab@gmail.com">sb.pmlab@gmail.com</a>)
参见----------See Also----------
scarabee.analysis
scarabee.analysis
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 22:48:05
