represampling.factor.bootstrap(sperrorest)
represampling.factor.bootstrap()所属R语言包：sperrorest
Bootstrap at an aggregated level
引导的总体水平
译者：生物统计家园网 机器人LoveR
描述----------Description----------
represampling.factor.bootstrap resamples partitions defined by a factor variable. This can be used for non-overlapping block bootstraps and similar.
represampling.factor.bootstrap重新采样分区定义的一个因素变量。这可以用于非重叠块引导和类似。
用法----------Usage----------
represampling.factor.bootstrap(data, fac, repetition = 1,
nboot = -1, seed1 = NULL, oob = FALSE)
参数----------Arguments----------
参数：fac
defines a grouping or partitioning of the samples in data; three possible types: (1) the name of a variable in data (coerced to factor if not already a factor variable); (2) a factor variable (or a vector that can be coerced to factor); (4) a list of factor variables (or vectors that can be coerced to factor); this list must be of length length(repetition), and if it is named, the names must be equal to as.character(repetition); this list will typically be generated by a partition.* function with return.factor=TRUE (see Examples below)
定义了一组或分区的样品中data;三种可能的类型：（1）名称中的变量data（强制因素，如果不已经是一个因素变量），（2）的一个因素变量（或一个向量，可以强制转换为因素）;（4）因子变量（或向量，可以强制转换为因素）的列表，这个列表必须是长度length(repetition)，如果它被命名为，的名称必须等于as.character(repetition)，这个列表通常会产生一个partition.*功能return.factor=TRUE（见下面的例子）
参数：nboot
number of bootstrap replications used for generating the bootstrap training sample (nboot[1]) and the test sample (nboot[2]); nboot[2] is ignored (with a warning) if oob=TRUE. A value of -1 will be substituted with the number of levels of the factor variable, corresponding to an n out of n bootstrap at the grouping level defined by fac.
生成的引导训练样本（nboot[1]）和测试样品（用于自举的复制数目nboot[2]）;nboot[2]被忽略（警告），如果oob=TRUE。 -1值将被替换的数量水平的因素变量，对应一个n的n引导分组级别定义的fac。
参数：oob
if TRUE, the test sample will be the out-of-bag sample; if FALSE (default), the test sample is an independently drawn bootstrap sample of size nboot[2]
如果TRUE，测试样品将样品袋; FALSE如果（默认），测试样品是一个独立制定引导样本的大小nboot[2]
参数：data
data.frame containing at least the columns specified by coords
data.frame的至少包含列指定的coords
参数：repetition
numeric vector: cross-validation repetitions to be generated. Note that this is not the number of repetitions, but the indices of these repetitions. E.g., use repetition=c(1:100) to obtain (the 'first') 100 repetitions, and repetition=c(101:200) to obtain a different set of 100 repetitions.
数字向量：交叉验证的重复产生。注意，这是不重复的次数，但这些重复的指数。例如，使用repetition=c(1:100)（“第一个”）取得100个重复，和repetition=c(101:200)获得一组不同的重复100次。
参数：seed1
seed1+i is the random seed that will be used by set.seed in repetition i (i in repetition) to initialize the random number generator before sampling from the data set.
seed1+i是随机的种子，将用于set.seed重复i（irepetition）采样前的数据初始化随机数生成器设置。
Details
详细信息----------Details----------
nboot refers to the number of groups (as defined by the factors) to be drawn with replacement from the set of groups. I.e., if fac is a factor variable, nboot would normally not be greater than nlevels(fac), nlevels(fac) being the default as per nboot=-1.
nboot是指到的组的数目（如定义的因素）来绘制从该组的组的更换。也就是说，如果fac是一个因素变量，nboot会通常不大于nlevels(fac)，nlevels(fac)默认情况下，每nboot=-1的。
参见----------See Also----------
represampling.disc.bootstrap, represampling.tile.bootstrap, note yet implemented: partition.cv.factor
represampling.disc.bootstrap，represampling.tile.bootstrap，尚未实施：partition.cv.factor
实例----------Examples----------
data(ecuador)
# a dummy example for demonstration, performing bootstrap[一个虚拟的例子作示范，进行引导]
# at the level of an arbitrary factor variable:[在水平的任意因子变量：]
parti = represampling.factor.bootstrap(ecuador, factor(floor(ecuador$dem/100)), oob=TRUE)
plot(parti,ecuador)
# using the factor bootstrap for a non-overlapping block bootstrap[使用因子自举一个非重叠的块自举]
# (see also represampling.tile.bootstrap):[（见represampling.tile.bootstrap）：]
fac = partition.tiles(ecuador, return.factor=TRUE, repetition=c(1:3), dsplit=500, min.n=200, rotation="random", offset="random")
parti = represampling.factor.bootstrap(ecuador, fac, oob=TRUE, repetition=c(1:3))
plot(parti,ecuador)
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。
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发表于 2012-9-30 15:04:11
