represampling.disc.bootstrap(sperrorest)
represampling.disc.bootstrap()所属R语言包：sperrorest
Overlapping spatial block bootstrap using circular blocks
采用圆形块重叠的空间块引导
译者：生物统计家园网 机器人LoveR
描述----------Description----------
represampling.disc.bootstrap performs a spatial block bootstrap by resampling at the level of rectangular partitions or 'tiles' generated by partition.tiles.
represampling.disc.bootstrap执行空间块引导水平的矩形分区或所产生的partition.tiles的砖重新取样。
用法----------Usage----------
represampling.disc.bootstrap(data, coords = c("x", "y"),
nboot, repetition = 1, seed1 = NULL, oob = FALSE, ...)
参数----------Arguments----------
参数：oob
logical (default FALSE): if TRUE, use the out-of-bag sample as the test sample (the complement of the nboot[1] test set discs, minus the buffer area as specified in the ... arguments to partition.disc); if FALSE, draw a second bootstrap sample of size nboot independently to obtain a test sample (sets of overlapping discs drawn with replacement)
逻辑（默认FALSE）：如果TRUE，使用袋样品的测试样品（nboot[1]的测试集光盘，减去缓冲区域范围内的补...参数partition.disc）;如果FALSE样品的尺寸，画第二个引导nboot独立地获得试验样品台（套重叠绘制更换光盘）
参数：nboot
number of bootstrap samples; you may specify different values for the training sample (nboot[1]) and for the test sample (nboot[2])
bootstrap样本数量，你可以指定不同的训练样本值（nboot[1]）的测试样品（nboot[2]）
参数：...
additional arguments to be passed to partition.disc; note that a buffer argument has not effect if oob=FALSE; see example below
额外的参数被传递到partition.disc，注意，buffer说法有没有效果，如果oob=FALSE;见下面的例子
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：coords
vector of length 2 defining the variables in data that contain the x and y coordinates of sample locations
向量，长度为2data包含的x和y坐标的样本的位置定义的变量在
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。
注意----------Note----------
Performs nboot out of nrow(data) resampling of circular discs. This is an overlapping spatial block bootstrap where the blocks are circular.
执行nboot出nrow(data)重采样圆盘。这是一个重叠的空间块引导块是圆形的。
实例----------Examples----------
data(ecuador)
# Overlapping disc bootstrap:[重叠光盘引导：]
parti = represampling.disc.bootstrap(ecuador, radius=200, nboot=20, oob=FALSE)
plot(parti,ecuador)
# Note that a 'buffer' argument would make no difference because boostrap sets of discs are[需要注意的是一个“缓冲”的说法没有什么区别，因为自举的光盘]
# drawn independently for the training and test sample.[制定独立的训练和测试样本。]
#[]
# Overlapping disc bootstrap for training sample, out-of-bag sample as test sample:[重叠的训练样本，光盘引导袋样品测试样品：]
parti = represampling.disc.bootstrap(ecuador, radius=200, buffer=200, nboot=10, oob=TRUE)
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。
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 15:04:05
