linear.approx(boot)
linear.approx()所属R语言包：boot
Linear Approximation of Bootstrap Replicates
自举线性逼近复制
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This function takes a bootstrap object and for each bootstrap replicate it calculates the linear approximation to the statistic of interest for that bootstrap sample.
这个函数需要一个引导对象，并为每个引导复制的利益，引导样本的统计计算线性近似。
用法----------Usage----------
linear.approx(boot.out, L = NULL, index = 1, type = NULL,
t0 = NULL, t = NULL, ...)
参数----------Arguments----------
参数：boot.out
An object of class "boot" representing a nonparametric bootstrap. It will usually be created by the function boot.
类"boot"代表的非参数引导的对象。它通常会被创建功能boot。
参数：L
A vector containing the empirical influence values for the statistic of interest. If it is not supplied then L is calculated through a call to empinf.
一个向量，包含利益的统计经验的影响值。如果没有提供，则L计算调用empinf通过。
参数：index
The index of the variable of interest within the output of boot.out$statistic.
利益内boot.out$statistic输出变量的指数。
参数：type
This gives the type of empirical influence values to be calculated. It is not used if L is supplied. The possible types of empirical influence values are described in the help for empinf.
这使经验的影响值来计算的类型。不使用它，如果L提供。经验的影响值可能是在帮助empinf的。
参数：t0
The observed value of the statistic of interest. The input value is used only if one of t or L is also supplied. The default value is boot.out$t0[index]. If t0 is supplied but neither t nor L are supplied then t0 is set to boot.out$t0[index] and a warning is generated.
利益的统计观测值。输入值时，才使用t或L也提供。默认值是boot.out$t0[index]。 t0如果提供，但既不t也L提供t0设置为boot.out$t0[index]和警告生成。
参数：t
A vector of bootstrap replicates of the statistic of interest. If t0 is missing then t is not used, otherwise it is used to calculate the empirical influence values (if they are not supplied in L).
一个向量，引导，重复统计的兴趣。如果的t0丢失t不使用，否则它是用来计算经验的影响值（如果他们不提供L）。
参数：...
Any extra arguments required by boot.out$statistic. These are needed if L is not supplied as they are used by empinf to calculate empirical influence values. </table>
boot.out$statistic所需的任何额外的参数。这些都需要L如果没有提供，因为它们是由empinf用来计算经验的影响值。 </ TABLE>
Details
详情----------Details----------
The linear approximation to a bootstrap replicate with frequency vector f is given by t0 + sum(L * f)/n in the one sample with an easy extension to the stratified case. The frequencies are found by calling boot.array.
线性近似与频率向量f引导复制t0 + sum(L * f)/n在同一个易于扩展的分层情况下的一个样本。被发现的频率调用boot.array。
值----------Value----------
A vector of length boot.out$R with the linear approximations to the statistic of interest for each of the bootstrap samples.
长度的向量boot.out$R引导样本利益的统计与线性近似。
参考文献----------References----------
Bootstrap Methods and Their Application. Cambridge University Press.
参见----------See Also----------
boot, empinf, control
boot，empinf，control
举例----------Examples----------
# Using the city data let us look at the linear approximation to the [使用城市的数据，让我们看看线性近似的]
# ratio statistic and its logarithm. We compare these with the [比统计量和它的对数。我们比较这些]
# corresponding plots for the bigcity data [相应片为bigcity数据，]
ratio <- function(d, w) sum(d$x * w)/sum(d$u * w)
city.boot <- boot(city, ratio, R = 499, stype = "w")
bigcity.boot <- boot(bigcity, ratio, R = 499, stype = "w")
op <- par(pty = "s", mfrow = c(2, 2))
# The first plot is for the city data ratio statistic.[第一图是城市的数据比统计量。]
city.lin1 <- linear.approx(city.boot)
lim <- range(c(city.boot$t,city.lin1))
plot(city.boot$t, city.lin1, xlim = lim, ylim = lim,
main = "Ratio; n=10", xlab = "t*", ylab = "tL*")
abline(0, 1)
# Now for the log of the ratio statistic for the city data.[现在的比率为城市数据统计日志。]
city.lin2 <- linear.approx(city.boot,t0 = log(city.boot$t0),
t = log(city.boot$t))
lim <- range(c(log(city.boot$t),city.lin2))
plot(log(city.boot$t), city.lin2, xlim = lim, ylim = lim,
main = "Log(Ratio); n=10", xlab = "t*", ylab = "tL*")
abline(0, 1)
# The ratio statistic for the bigcity data.[比为bigcity数据统计。]
bigcity.lin1 <- linear.approx(bigcity.boot)
lim <- range(c(bigcity.boot$t,bigcity.lin1))
plot(bigcity.lin1, bigcity.boot$t, xlim = lim, ylim = lim,
main = "Ratio; n=49", xlab = "t*", ylab = "tL*")
abline(0, 1)
# Finally the log of the ratio statistic for the bigcity data.[最后的日志比为bigcity数据统计。]
bigcity.lin2 <- linear.approx(bigcity.boot,t0 = log(bigcity.boot$t0),
t = log(bigcity.boot$t))
lim <- range(c(log(bigcity.boot$t),bigcity.lin2))
plot(bigcity.lin2, log(bigcity.boot$t), xlim = lim, ylim = lim,
main = "Log(Ratio); n=49", xlab = "t*", ylab = "tL*")
abline(0, 1)
par(op)
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 2012-2-16 20:52:32
