x12Parameter-class(x12)
x12Parameter-class()所属R语言包：x12
Class "x12Parameter"
类“x12Parameter”
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Parameter class for X12.
参数类X12。
类对象----------Objects from the Class----------
Objects can be created by calls of the form new("x12Parameter", ...).
可以创建对象通过调用的形式new("x12Parameter", ...)。
插槽----------Slots----------
span: Object of class "characterOrNULL" - vector of length 4, limiting the data used for the calculations and analysis to a certain time interval.<br> Start and end date of said time interval can be specified by 4 integers in the format c(start year, start seasonal period, end year, end seasonal period)
span：类"characterOrNULL" - 矢量的长度为4，限制所使用的数据的计算和分析，以一定的时间间隔。<br>文章的开始和结束日期，对象的所述时间间隔可以被指定的4个整数中的格式c(start year, start seasonal period, end year, end seasonal period)
modelspan: Object of class "characterOrNULL" - vector of length 4, defining the start and end date of the time interval of the data
modelspan：对象的类"characterOrNULL" - 向量的长度为4，确定开始日期和结束日期的时间间隔的数据
decimals: Object of class "numeric" - number of decimal places of the data.
decimals：对象的类"numeric" - 数的小数位数的数据。
transform: Object of class "character" - transform parameter for x12 ("auto", "log", "none").
transform：类的对象"character" - 变换X12（参数"auto"，"log"，"none"）。
acceptdefault: Object of class "logical" - logical for automdl defining whether the default model should be chosen if the Ljung-Box Q statistic
acceptdefault：类的对象"logical" - 逻辑automdl定义默认的模型是否应该选择的Ljung-Box Q统计量
balanced: Object of class "logical" - logical for automdl defining whether the automatic model procedure will tend towards balanced
balanced：类的对象"logical" - 逻辑automdl定义是否自动模式过程将趋于平衡
aictest: Object of class "characterOrNULL" - character vector defining the regression variables for which an AIC test is to be performed.
aictest：类的对象"characterOrNULL" - 字符向量回归变量定义为要执行的的AIC测试的。
arima: Object of class "numericOrNULL" - vector of length 3, defining the arima parameters.
arima：对象的类"numericOrNULL" - 向量的长度为3，确定ARIMA模型的参数。
sarima: Object of class "numericOrNULL" - vector of length 3, defining the sarima parameters.
sarima：对象类"numericOrNULL" - 向量的长度为3，定义SARIMA参数。
automdl: Object of class "logical" - TRUE/FALSE for activating auto modeling.
automdl：类的对象"logical" - TRUE/FALSE启动自动建模。
maxorder: Object of class "numeric" - maximum order for automdl.
maxorder：对象的类"numeric" - 最大的订单automdl。
maxdiff: Object of class "numeric" - maximum diff. order for automdl.
maxdiff：对象的类"numeric" - 最大的差异。为了automdl。
regvariables: Object of class "characterOrNULL" - character or character vector representing the names of the regression variables.
regvariables：对象类"characterOrNULL" - 字符或字符向量，代表回归变量的名称。
reguser: Object of class "characterOrNULL" - character or character vector defining the user parameters in the regression argument.
reguser：对象的类"characterOrNULL" - 字符或字符向量回归参数定义的用户参数。
regfile: Object of class "characterOrNULL" - path to the file containing the data values of all reguser variables.
regfile：对象类"characterOrNULL" - 路径的文件，其中包含所有reguser变量的数据值。
usertype: Object of class "characterOrNULL" - character or character vector assigning a type of model-estimated regression effect on each user parameter in the regression argument ("seasonal", "td", "lpyear", "user", ...).<br> By specifying a character vector of length greater one each variable can be given its own type.
usertype：对象类"characterOrNULL" - 字符或字符向量分配一个类型的每个用户参数估计模型的回归效果的回归参数（"seasonal"，"td"， "lpyear"，"user"，...）。<br>通过指定一个字符的矢量长度大于1每个变量可以给出它自己的类型中。
centeruser: Object of class "characterOrNULL" - character specifying the removal of the (sample) mean or the seasonal means from the user parameters in the regression argument ("mean", "seasonal").<br>
centeruser：类的对象"characterOrNULL" - 字符，指定清除（样品）的意思，或季节性回归参数中的用户参数（"mean"，"seasonal"） 。<BR>
regfilestart: Object of class "characterOrNULL" - start date for the values of the reguser variables, specified as a vector of two integers in the format c(year, seasonal period).
regfilestart：类"characterOrNULL" - 开始日期的值reguser变量，作为向量的两个整数的格式c(year, seasonal period)对象。
seats: Object of class "logical" - TRUE/FALSE for activating SEATS, at the moment SEATS is not properly implemented.
seats类的对象"logical" - TRUE/FALSE激活座椅，此刻座椅是不正确的实施。
seatsparameter: Object of class "characterOrNULL" - string defining the seats parameter.
seatsparameter：类的对象"characterOrNULL" - 字符串，定义席位参数。
sigmalim: Object of class "numericOrNULL" - vector of length 2, defining the limits for sigma in the x11 methodology,
sigmalim：类的对象"numericOrNULL" - 矢量长度为2，定义为Sigma在x11方法的限制，
outlier: Object of class "characterOrNULL" - character or character vector defining the method(s) used for outlier detection ("AO", "LS", "TC", "all").
outlier：对象类"characterOrNULL" - 字符或字符向量定义方法（S）的孤立点检测（"AO"，"LS"，"TC"，"all"）。
critical: Object of class "listOrNULLOrcharacter" - number specifying the critical value used for outlier detection (same value used for all types of outliers) or named list (possible names of list elements being AO,LS and TC) where each list element specifies the respective critical value used for detecting the corresponding type of outlier.<br>
critical：类的对象"listOrNULLOrcharacter" - 数字，指定的临界值的孤立点检测（用于所有类型的异常值相同的值）或命名列表（列表中的元素可能的名字是AO LS和TC）列表，其中每个元素指定了相应的临界值，用于检测相应类型的离群<BR>。
outlier_span: Object of class "numericOrNULL" - vector of length 2, defining the span for outlier detection.
outlier_span：类"numericOrNULL" - 矢量长度为2，跨度定义的孤立点检测的对象。
outlier_method: Object of class "characterOrNULL" - character determining how detected outliers should be added to the model ("addone", "addall").
outlier_method：类的对象"characterOrNULL"“ - 性格决定如何检测到异常值应该被添加到模型（"addone"，"addall"）。
forecast_years: Object of class "numericOrNULL" - number of years to forecast, default is 1 year.
forecast_years：对象的类"numericOrNULL" - 数年的预测，默认为1年。
backcast_years: Object of class "numericOrNULL" - number of years to backcast, default is no backcasts.
backcast_years：对象类"numericOrNULL" - 数年backcast，默认情况下是没有backcasts。
forecast_conf: Object of class "numeric" - probability for the confidence interval of forecasts.
forecast_conf：对象的类"numeric" - 概率预测的置信区间。
estimate: Object of class "logical" - if TRUE, the term "estimate" will be added to the spc file.
estimate：类的对象"logical"“ - ，如果TRUE，”估计“一词将被添加到SPC的文件。
estOutofsample: Object of class "logical" - logical defining whether "out of sample" or "within sample" forecast errors
estOutofsample类的对象"logical" - 逻辑定义是否“样品”或“内部样本”的预测误差
slidingspans: Object of class "logical" - if TRUE, slidingspans will be enabled.
slidingspans：类的对象"logical"“ - ，如果TRUE，slidingspans将启用。
onlytd: Object of class "logical" - if TRUE, x11 will only be used to estimate trend and to adjust according to trading days.
onlytd：类的对象"logical" - 如果TRUE，X11将只被用于估计趋势，并根据个交易日调整。
sfshort: Object of class "logical" -
sfshort：类的对象"logical" -
logical controlling the seasonal filter to be used if the series is at most 5 years long. If TRUE, the arguments of the seasonalma filter will be used wherever possible. If FALSE, a stable seasonal filter will be used irrespective of seasonalma.
逻辑控制的季节性过滤器时，将使用该系列产品是最多5年之久。如果TRUE，seasonalma过滤器的参数将被尽可能地使用。如果FALSE，稳定的季节性过滤器将被用于不论seasonalma。
samode: Object of class "characterOrNULL" - character defining the type of seasonal adjustment decomposition calculated
samode：定义类型的对象的类"characterOrNULL" - 字符季节性调整的分解计算
seasonalma: Object of class "numericOrNULL" - character or character vector of the format c("snxm","snxm", ...) defining which seasonal nxm moving average(s) should be used for which calendar months or quarters to estimate the seasonal factors. If only one ma is specified, the same ma will be used for all months or quarters.
seasonalma：对象类"numericOrNULL" - 字符或字符的格式c("snxm","snxm", ...)定义季节性的NXM移动平均（S）应使用的日历月份或季度的季节性因素估计的向量。如果只有1毫安的指定，将使用同一个MA的所有月份或季度。
trendma: Object of class "numericOrNULL" - integer defining the type of Henderson moving average used for estimating the final trend cycle.
trendma：类的对象"numericOrNULL" - 整数定义类型恒基兆业移动平均线，用于估计最终的趋势周期。
x11appendfcst: Object of class "logical" - logical defining whether forecasts should be included in certain x11 tables.
x11appendfcst：对象类"logical" - 逻辑下定义，预测应否包括在某些X11表。
x11appendbcst: Object of class "logical" - logical defining whether forecasts should be included in certain x11 tables.
x11appendbcst：对象类"logical" - 逻辑下定义，预测应否包括在某些X11表。
x11calendarsigma: Object of class "characterOrNULL" - regulates the way the standard errors used for the detection and adjustment of
x11calendarsigma：类对象的"characterOrNULL" - 调节的方式使用的是标准的错误的检测和调整
x11excludefcst: Object of class "logical" - ogical defining if forecasts and backcasts from the regARIMA model
x11excludefcst类的对象"logical" - ogical的定义如果预测和backcasts的从regARIMA模型
x11final: Object of class "character" - character or character vector specifying which type(s) of prior adjustment factors should be
x11final：对象的类"character" - 字符或字符向量确定型（S）前期调整因素
x11regress: Object of class "logical" - if TRUE, x11Regression will be performed (using the regression commands above).
x11regress：类的对象"logical" - TRUE，将执行x11Regression（使用上述回归命令）。
方法----------Methods----------
getP signature(object = "x12Parameter"): ...
getPsignature(object = "x12Parameter")：...
setP signature(object = "x12Parameter"): ...
setPsignature(object = "x12Parameter")：...
（作者）----------Author(s)----------
Alexander Kowarik, Angelika Meraner
实例----------Examples----------
showClass("x12Parameter")
转载请注明:出自 生物统计家园网(http://www.biostatistic.net)。
注：
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发表于 2012-10-1 23:16:58
