ss.pMap(SixSigma)
ss.pMap()所属R语言包：SixSigma
Process Map
工艺流程图
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This function takes information about the process we want to represent and draw the Process Map, with its X's, x's, Y's and y's in
这个函数接受信息的过程中，我们要代表和绘制过程图，其X，X，Y和Y的
用法----------Usage----------
ss.pMap(steps, inputs.overall, outputs.overall, input.output,
x.parameters, y.features, main = "Six Sigma Process Map", sub, ss.col =
c("#666666", "#BBBBBB", "#CCCCCC", "#DDDDDD", "#EEEEEE"))
参数----------Arguments----------
参数：steps
A vector of characters with the name of the 'n' steps
的n的步骤的名称的字符的向量
参数：inputs.overall
A vector of characters with the name of the overall inputs
与整体输入的名称的字符的向量
参数：outputs.overall
A vector of characters with the name of the overall outputs
整体输出的名称的字符的向量
参数：input.output
A vector of lists with the names of the inputs of the i-{th} step, that will be the outputs of the (i-1)-{th} step
i-{th}步骤输入的名称的列表的向量，这将是(i-1)-{th}步骤的输出
参数：x.parameters
A vector of lists with a list of the x parameters of the process. The parameter is a vector with two values: the name and the type (view details)
列表的列表的参数的过程的x的向量。该参数是一个向量，具有两个值：名称和类型（查看详细信息）
参数：y.features
A vector of lists with a list of the y features of the step. The feature is a vector with two values: the name and the type (view details)
的向量，具有一系列的工序的y功能列表。该功能是一个向量，具有两个值：名称和类型（查看详细信息）
参数：main
The main title for the Process Map
过程图的主标题
参数：sub
Subtitle for the diagram (recommended the Six Sigma project name)
字幕图（建议六西格玛项目名称）
参数：ss.col
A vector of colours for a custom drawing. At least five colours, sorted by descendant intensity (see details)
一个向量的自定义绘制的颜色。至少有五种颜色，按后裔强度排序（见详情）
Details
详细信息----------Details----------
The type of the x parameters and y features can be: C(controllable), N(noise), Cr(Critical), P(Procedure). The default value for ss.col is c("#666666", "#BBBBBB", "#CCCCCC", "#DDDDDD", "#EEEEEE"), a grayscale style. You can pass any accepted color string.
x参数和y功能的类型可以是：C（控制），N（噪声），铬（严重），P（程序）。的默认值ss.col是c（“＃666666”，“＃BBBBBB”，“＃CCCCCC”，“＃DDDDDD”，“＃EEEEEE”），一个灰度的风格。您可以通过任何公认的颜色字符串。
值----------Value----------
A graphic representation of the Map Process.
的图程序的图形表示。
注意----------Note----------
The process map is the starting point for a Six Sigma Project, and it is very important to find out who the x's and y'x are.
过程图是一个六西格玛项目的出发点，这是非常重要的，看看谁的x和yx。
（作者）----------Author(s)----------
Emilio L. Cano
参考文献----------References----------
Six Sigma with R. Statistical Engineering for Process Improvement, Use R!, vol. 36. Springer, New York. http://www.springer.com/statistics/book/978-1-4614-3651-5.<br>
参见----------See Also----------
ss.ceDiag
ss.ceDiag
实例----------Examples----------
inputs.overall<-c("operators", "tools", "raw material", "facilities")
outputs.overall<-c("helicopter")
steps<-c("INSPECTION", "ASSEMBLY", "TEST", "LABELING")
#Inputs of process "i" are inputs of process "i+1"[输入过程中的“i”是输入过程中的“i +1”]
input.output<-vector(mode="list",length=length(steps))
input.output[1]<-list(c("sheets", "..."))
input.output[2]<-list(c("sheets"))
input.output[3]<-list(c("helicopter"))
input.output[4]<-list(c("helicopter"))
#Parameters of each process[每个进程的参数]
x.parameters<-vector(mode="list",length=length(steps))
x.parameters[1]<-list(c(list(c("width", "NC")),list(c("operator", "C")),
list(c("Measure pattern", "P")), list(c("discard", "P"))))
x.parameters[2]<-list(c(list(c("operator", "C")),list(c("cut", "P")),
list(c("fix", "P")), list(c("rotor.width", "C")),list(c("rotor.length",
"C")), list(c("paperclip", "C")), list(c("tape", "C"))))
x.parameters[3]<-list(c(list(c("operator", "C")),list(c("throw", "P")),
list(c("discard", "P")), list(c("environment", "N"))))
x.parameters[4]<-list(c(list(c("operator", "C")),list(c("label", "P"))))
x.parameters
#Features of each process[每个进程的特征]
y.features<-vector(mode="list",length=length(steps))
y.features[1]<-list(c(list(c("ok", "Cr"))))
y.features[2]<-list(c(list(c("weight", "Cr"))))
y.features[3]<-list(c(list(c("time", "Cr"))))
y.features[4]<-list(c(list(c("label", "Cr"))))
y.features
ss.pMap(steps, inputs.overall, outputs.overall,
input.output, x.parameters, y.features,
sub="Paper Helicopter Project")
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 09:47:52
