sd.start(sdtoolkit)
sd.start()所属R语言包：sdtoolkit
Read, Clean, And Threshold Data To Call PRIM
阅读，干净，阈值数据调用PRIM
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This function is designed to help make sure that data used in PRIM analysis is in an appropriate form. It checks for duplicate columns and columns with no changing values, and also for various forms of missing or non-real-valued data. It then displays histograms and empirical cdfs for candidate output variables, and lets you define thresholds, and then call sdprim.
该功能旨在帮助确保PRIM分析所用的数据是在以适当的形式。检查是否有重复的列与列没有变化值，也可用于各种形式的丢失或不实值数据。然后它会显示直方图和经验的cdfs候选输出变量，并允许您定义的阈值，然后调用“sdprim。
用法----------Usage----------
sd.start(...)
参数----------Arguments----------
参数：...
The function is interactive and prompts for inputs. However, you may prespecify arguments to pass on to sdprim when it is called. See that function's help file for much more detailed information.
的功能是互动的，会提示您输入。但是，你可以对各种参数传递到sdprim当它被调用。更详细的信息，请参阅该函数的帮助文件。
Details
详细信息----------Details----------
The current version of sdprim has some notable restrictions on the format of data it can accept while still functioning appropriately. In particular, the data must be numeric, and the output vector that is eventually used must be zero one. This function (sd.start) helps to make sure the input and output data is appropriately formatted prior to calling sdprim.
当前版本的sdprim有一些值得注意的数据的格式，它可以接受，而仍然发挥作用，适当限制。特别是，该数据必须是数字，和最终使用的输出矢量必须为零1。此功能（sd.start）有助于确保输入和输出数据的适当格式化之前调用sdprim。
值----------Value----------
If one chooses to call sdprim from within sd.start, then it will return the same output of sdprim. Specifically, a convoluted list containing all relevant box sequence information, with structure as described more precisely in the help file for sdprim.
如果选择，调用“sdprim内sd.start，那么它会返回相同的输出sdprim。具体来说，一个令人费解的列表，其中包含所有相关的box序列与结构信息，更精确地描述在帮助文件中sdprim。
If sdprim is not called, then nothing is returned (or possibly some junk), though you may save data files interactively from within sd.start.
sdprim如果不叫，则没有返回（或可能是一些垃圾），虽然你可以以交互方式保存数据文件从sd.start。
（作者）----------Author(s)----------
Benjamin P. Bryant, <a href="mailto:bryant@prgs.edu">bryant@prgs.edu</a>
参考文献----------References----------
Lempert, R.J., B.P. Bryant and S.C. Bankes. (2008). “Comparing Algorithms for Scenario Discovery.” RAND Working Paper Series. http://www.rand.org/pub/working\_papers/2008/RAND\_WR557.pdf
Friedman, J.H., N.I. Fisher. (1999). “Bump hunting in high-dimensional data.” Statistics and Computing 9, 123-143.
Groves, D.G. and R.J. Lempert. (2007). “A New Analytic Method for Finding Policy-Relevant Scenarios”. Global Environmental Change, 17, p73-85. http://www.rand.org/pubs/reprints/RP1244/
Lempert, R.J., D.G. Groves, et al. (2006). “A general, analytic method for generating robust strategies and narrative scenarios.” Management Science 52(4): 514-528.
参见----------See Also----------
sdprim
sdprim
实例----------Examples----------
#Note, because the function is interactive, this example demonstrates very [请注意，因为该函数是互动的，这个例子演示了]
#little. You will need a csv or rda file available to load data in.[小。您将需要一个csv或RDA文件的提供将数据加载英寸]
#See the sdprim examples for more explicit use.[请参阅sdprim更明确的使用的例子。]
## Not run: myboxes <- sd.start() [＃不运行：myboxes - sd.start（）]
#Uses all of sdprim's default arguments[使用所有的sdprim的默认参数]
## Not run: morebox <- sd.start(repro=FALSE) [＃不运行：morebox - sd.start（REPRO = FALSE）]
#tells sdprim not to spend computatioal time on [告诉sdprim不花钱computatioal的时间]
#reproducibility statistics[重现性统计]
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。
|
发表于 2012-9-29 23:39:08
