dhuber(VGAM)
dhuber()所属R语言包：VGAM
Huber's least favourable distribution
Huber的最有利的分布
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Density, distribution function, quantile function and random generation for Huber's least favourable distribution, see Huber and Ronchetti (2009).
密度，分布函数，Huber的最不利分布的分位数函数随机生成，看到胡贝尔和龙凯蒂（2009年）。
用法----------Usage----------
dhuber(x, k = 0.862, mu = 0, sigma = 1, log = FALSE)
edhuber(x, k = 0.862, mu = 0, sigma = 1, log = FALSE)
rhuber(n, k = 0.862, mu = 0, sigma = 1)
qhuber(p, k = 0.862, mu = 0, sigma = 1)
phuber(q, k = 0.862, mu = 0, sigma = 1)
参数----------Arguments----------
参数：x, q
numeric vector, vector of quantiles.
数字向量，向量的位数。
参数：p
vector of probabilities.
向量的概率。
参数：n
number of random values to be generated. If length(n) > 1 then the length is taken to be the number required.
要生成的随机值的数量。如果length(n) > 1的长度是所需的数量。
参数：k
numeric. Borderline value of central Gaussian part of the distribution. This is known as the tuning constant, and should be positive. For example, k = 0.862 refers to a 20% contamination neighborhood of the Gaussian distribution. If k = 1.40 then this is 5% contamination.
数字。中央高斯分布的边缘值。这是被称为调谐常数，和应为正值。例如，k = 0.862是指20％的污染附近的高斯分布。如果k = 1.40然后是5％的污染。
参数：mu
numeric. distribution mean.
数字。分布的意思。
参数：sigma
numeric. Distribution scale (sigma = 1 defines the distribution in standard form, with standard Gaussian centre).
数字。分布规模（sigma = 1定义标准形式的分布，与标准高斯中心）。
参数：log
Logical. If log = TRUE then the logarithm of the result is returned.
逻辑。如果log = TRUE然后返回的结果是对数。
Details
详细信息----------Details----------
Details are given in huber, the VGAM family function for estimating the parameters mu and sigma.
有关详情载于huber，VGAM家庭功能的参数估计的mu和sigma。
值----------Value----------
dhuber gives out a vector of density values.
dhuber给出的密度值的矢量。
edhuber gives out a list with components val (density values) and eps (contamination proportion).
edhuber给出了一个列表，组件val（密度值）和eps（污染比例）。
rhuber gives out a vector of random numbers generated by Huber's least favourable distribution.
rhuber给出了由Huber的至少有利的分布产生的随机数的矢量。
phuber gives the distribution function, qhuber gives the quantile function.
phuber给出了分布函数，qhuber给分位数的功能。
（作者）----------Author(s)----------
Christian Hennig wrote <code>[d,ed,r]huber()</code>
(from <span class="pkg">smoothmest</span>) and
slight modifications were made by T. W. Yee to
replace looping by vectorization and addition of the <code>log</code> argument.
Arash Ardalan wrote <code>[pq]huber()</code>.
This helpfile was adapted from <span class="pkg">smoothmest</span>.
参见----------See Also----------
huber.
huber。
实例----------Examples----------
set.seed(123456)
edhuber(1:5, k = 1.5)
rhuber(5)
# Plot cdf and pdf[图cdf和pdf]
## Not run: mu = 3; xx = seq(-2, 7, len = 100)[＃不运行：MU = 3; XX = SEQ（-2，7，LEN = 100）]
plot(xx, dhuber(xx, mu = mu), type = "l", col = "blue", las = 1, ylab = "",
main = "blue is density, red is cumulative distribution function",
sub = "Purple lines are the 10,20,...,90 percentiles",
ylim = 0:1)
abline(h = 0, col = "blue", lty = 2)
lines(xx, phuber(xx, mu = mu), type = "l", col = "red")
probs = seq(0.1, 0.9, by = 0.1)
Q = qhuber(probs, mu = mu)
lines(Q, dhuber(Q, mu = mu), col = "purple", lty = 3, type = "h")
lines(Q, phuber(Q, mu = mu), col = "purple", lty = 3, type = "h")
abline(h = probs, col = "purple", lty = 3)
phuber(Q, mu = mu) - probs # Should be all zero[应该是所有零]
## End(Not run) [＃（不执行）]
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。
|
发表于 2012-10-1 15:32:10
