represampling.bootstrap(sperrorest)
represampling.bootstrap()所属R语言包：sperrorest
Non-spatial bootstrap resampling
非空间引导重采样
译者：生物统计家园网 机器人LoveR
描述----------Description----------
represampling.bootstrap draws a bootstrap random sample (with replacement) from data.
represampling.bootstrap绘制一个自举随机样本（更换）data。
用法----------Usage----------
represampling.bootstrap(data, coords = c("x", "y"),
nboot = nrow(data), repetition = 1, seed1 = NULL,
oob = FALSE)
参数----------Arguments----------
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：nboot
Size of bootstrap sample
引导样品的大小
参数：oob
logical (default FALSE): if TRUE, use the out-of-bag sample as the test sample; if FALSE, draw a second bootstrap sample of size nboot independently to obtain a test sample
逻辑（默认FALSE）：如果TRUE，使用袋样品作为测试样本，如果FALSE，画第二个引导的大小nboot独立样本获得试验样品
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。
值----------Value----------
A represampling object. This is a (named) list containing length(repetition) resampling objects. Each of these contains only one list with indices of training and test samples. Indices are row indices for data.
Arepresampling对象。这是一个（命名）的列表，其中包含length(repetition)resampling的对象。这些指数train荷兰国际集团和test样品只包含一个列表。指数指数data行。
实例----------Examples----------
data(ecuador)
# only 10 bootstrap repetitions, normally use >=100:[只有10个引导的重复，一般使用> = 100：]
parti = represampling.bootstrap(ecuador, repetition = 10)
plot(parti, ecuador) # careful: overplotting occurs[注意：overplotting发生]
# because some samples are included in both the training and[因为一些样品都包含在两个训练和]
# the test sample (possibly even multiple times)[测试样品（甚至可能多次）]
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 15:03:56
