rrcov.control(robustbase)
rrcov.control()所属R语言包：robustbase
Control object for the estimation parameters
估计参数的控制对象
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Auxiliary function for passing the estimation options as parameters to the estimation functions.
用于传递作为参数的估计函数的估计选项的辅助功能。
NOTE: The name WILL change !!!!
注：该名称将改变！！
用法----------Usage----------
rrcov.control(alpha = 1/2, nsamp = 500, nmini = 300,
seed = NULL, tolSolve = 1e-14, trace = FALSE,
use.correction = TRUE, adjust = FALSE)
参数----------Arguments----------
参数：alpha
This parameter controls the size of the subsets over which the determinant is minimized, i.e., alpha*n observations are used for computing the determinant. Allowed values are between 0.5 and 1 and the default is 0.5.
此参数控制行列式最小的子集的大小，即，alpha*n观测用于计算行列式。允许的值是0.5~1之间，默认为0.5。
参数：nsamp
number of subsets used for initial estimates or "best" or "exact". Default is nsamp = 500. If nsamp="best" exhaustive enumeration is done, as far as the number of trials do not exceed 5000. If nsamp="exact" exhaustive enumeration will be attempted however many samples are needed. In this case a warning message will be displayed saying that the computation can take a very long time.
用于初步估计或"best"或"exact"的子集数。默认是nsamp = 500。如果nsamp="best"穷举完成，尽可能试验的次数不超过5000。如果nsamp="exact"穷举然而，许多样品将尝试是必要的。在这种情况下，将显示一条警告消息说，计算需要很长的时间。
参数：nmini
for covMcd: For large n, the algorithm splits the data into maximally krep = 5 subsets of size nmini. </table>
covMcd：对于大n，算法分割数据的到最大限度krep = 5的子集的大小nmini。 </ TABLE>
参数：seed
initial seed for R's random number generator; see .Random.seed and the description of the seed argument in lmrob.control.
初始为R的随机数生成器的种子，见.Random.seed和seedlmrob.control参数的描述中。
参数：tolSolve
numeric tolerance to be used for inversion (solve) of the covariance matrix in mahalanobis.
数字耐受用于反转（solve）的协方差矩阵在mahalanobis。
参数：trace
whether to print intermediate results. Default is trace = FALSE
是否要打印的中间结果。默认是trace = FALSE
参数：use.correction
whether to use finite sample correction factors. Defaults to TRUE.
是否使用有限样本的校正因素。默认为TRUE的。
参数：adjust
whether to perform intercept adjustment at each step. Because this can be quite time consuming, the default is adjust = FALSE.
是否执行拦截调整在每一步。因为这可能是非常耗时的，默认的是adjust = FALSE。
Details
详细信息----------Details----------
For details about the estimation options see the corresponding estimation functions.
估计的估计选项的详细信息，请参阅相应的功能。
值----------Value----------
A list with components, as the parameters passed by the invocation
与组件，通过调用的参数列表
（作者）----------Author(s)----------
Valentin Todorov
实例----------Examples----------
data(Animals, package = "MASS")
brain <- Animals[c(1:24, 26:25, 27:28),]
data(hbk)
hbk.x <- data.matrix(hbk[, 1:3])
ctrl <- rrcov.control(alpha=0.75, trace=TRUE)
covMcd(hbk.x, control = ctrl)
covMcd(log(brain), control = ctrl)
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 2012-9-27 22:14:27
