R语言 SQUADD包 SquadSimResServiceImpl-class()函数中文帮助文档(中英文对照)

loveR

SquadSimResServiceImpl-class(SQUADD)
SquadSimResServiceImpl-class()所属R语言包：SQUADD

                                        Class "SquadSimResServiceImpl"
                                         类“SquadSimResServiceImpl”

                                         译者：生物统计家园网 机器人LoveR

描述----------Description----------

The Class SquadSimResServiceImpl contains the information needed to plot the simulation matrix, the prediction map and the correlation circle.
SquadSimResServiceImpl类包含绘制的模拟矩阵，预测图及相关圈所需的信息。


插槽----------Slots----------




folder: Object of class "character", path to the folder to find the SQUAD (1) data.
folder类"character"，路径的文件夹，找到班长（1）数据的对象。




time: Object of class "numeric", time point used to get the interpolated activate state value.
time：Object类的"numeric"，时间点插值激活状态值。




ncolor: Object of class "numeric", number of color code to used in the prediction map. default = 5
ncolor：Object类的"numeric"，颜色代码的数量在预测图。默认值= 5




legend: Object of class "vector", contains the name of each node of the model (Must appear in the same order than the simulation).
legend：Object类的"vector"，包含模型（必须出现在相同的顺序比模拟）的每个节点的名称。




indexDeno: Object of class "numeric", the index of the file to used as denominator (the names of each file in the folder should contain an index, i.e 1_xxx.txt), default = 1
indexDeno：Object类的"numeric"，作为分母（文件夹中的每个文件的名称应该包含一个指数，即1_xxx.txt）文件的索引，默认值= 1




method: Object of class "character", the fitting method to interpolate the curve ("linear" to get a straight line (2) or "lowess" to get a smoothed interpolation (3)).
method：Object类的"character"，拟合插值曲线（“线性”，得到一条直线（2）或“LOWESS”得到一个平滑插补（3））。




selectNode: Object of class "character", contains the name of the node to display.
selectNode：Object类的"character"，以显示包含的节点的名称。




conditionList: Object of class "character", list of the perturbation condition names.
conditionList类"character"，扰动条件名称列表中的对象。


构造----------Constructor----------

simResService(folder, time, ncolor, legend, indexDeno, method, selectNode, conditionList): construct a instance of SquadSimResServiceImpl.
simResService(folder, time, ncolor, legend, indexDeno, method, selectNode, conditionList)：建立一个SquadSimResServiceImpl的实例。


方法----------Methods----------




getFittedTable signature(object = "SquadSimResServiceImpl"): Build and display the table of interpolated/fitted values (see getFittedTable for more details).
getFittedTablesignature(object = "SquadSimResServiceImpl")：构建和显示表（见更多细节getFittedTable），插/拟合值。




plotSimMatrix signature(object = "SquadSimResServiceImpl"): plot the simulation matrix (see plotSimMatrix for more details).
plotSimMatrixsignature(object = "SquadSimResServiceImpl")：图模拟矩阵（见更多细节plotSimMatrix）。




plotPredMap signature(object = "SquadSimResServiceImpl"): plot the prediction map (see plotPredMap for more details).
plotPredMapsignature(object = "SquadSimResServiceImpl")：图预测图（见更多细节plotPredMap）。




plotCC signature(object = "SquadSimResServiceImpl"): plot the correlation circle from PCA analyis (see plotCC for more details).
plotCCsignature(object = "SquadSimResServiceImpl")：地积从PCA analyis（详情请参阅plotCC）的相关圈。


存取方法----------Accessor methods----------

See examples Section.
见示例一节。


作者（S）----------Author(s)----------



Martial Sankar




参考文献----------References----------

(2) Cleveland, W. S. (1979) Robust locally weighted regression and smoothing scatterplots. J. Amer. Statist. Assoc. 74, 829:836. (3) Chambers, J. M. (1992) Linear models. Chapter 4 of Statistical Models in S eds J. M. Chambers and T. J. Hastie, Wadsworth And Brooks/Cole.

举例----------Examples----------


fpath <- system.file("extdata", package="SQUADD")
fileModel <- file.path(fpath,"data_IAA")
nm <- c("ARF(a)", "ARF(i)", "AR_Genes", "Aux/IAA", "BES1/BZR1", "BIN2", "BR", "BRI1-BAK1","BRR_Genes","BRX","BR_Biosynthesis","BZR1", "DO", "IAA", "IAA_Biosynthesis", "NGA1", "PIN", "SCFTir1","StimAux", "StimBR")
t <- 50

## call constructor[＃调用构造函数]
obj <- simResService(folder=fileModel, time=t, ncolor=5,legend=nm, indexDeno=1,        method="lowess")

## Apply method [应用方法]
tab <- getFittedTable(obj)
obj["selectNode"] <-c("DO","IAA_Biosynthesis","BR_Biosynthesis", "IAA", "BR")

plotSimMatrix(obj)
plotPredMap(obj)

obj["conditionList"] <- c("Normal", "brxlof", "BRrescue","brxarfilof", "brxarfiBRrescue", "brxgof")
plotCC(obj)

## getter/setter test[＃getter / setter方法测试]
obj["time"] <- 45

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。