pulpfiber(robustbase)
pulpfiber()所属R语言包：robustbase
Pulp Fiber and Paper Data
纸浆纤维和纸张数据
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Measurements of aspects pulp fibers and the paper produced from them. Four properties of each are measured in sixty-two samples.
测量方面纸浆纤维和从它们产生的纸张。在62个样本中测量每四个属性。
用法----------Usage----------
data(pulpfiber)
格式----------Format----------
A data frame with 62 observations on the following 8 variables.
62以下8个变量的观察数据框。
X1 numeric vector of arithmetic fiber length
X1数字向量算术纤维长度
X2 numeric vector of long fiber fraction
X2数字矢量的长纤维部分
X3 numeric vector of fine fiber fraction
X3数字矢量的细纤维部分
X4 numeric vector of zero span tensile
X4数字矢量的零跨度拉伸
Y1 numeric vector of breaking length
Y1数字矢量的裂断长
Y2 numeric vector of elastic modulus
Y2数字矢量的弹性模量
Y3 numeric vector of stress at failure
Y3数字矢量应力失败
Y4 numeric vector of burst strength
Y4数字矢量破裂强度
Details
详细信息----------Details----------
Cited from the reference article: The dataset contains measurements of properties of pulp fibers and the paper made from them. The aim is to investigate relations between pulp fiber properties and the resulting paper properties. The dataset contains n = 62 measurements of the following four pulp fiber characteristics: arithmetic fiber length, long fiber fraction, fine fiber fraction, and zero span tensile. The four paper properties that have been measured are breaking length, elastic modulus, stress at failure, and burst strength.
引自参考文章：数据集包含的属性的纸浆纤维与纸从他们的测量结果。宗旨是调查纸浆纤维的特性和所得到的纸张性能的关系。该数据集包含n = 62以下四个纸浆纤维的特点：的算术纤维长度，长纤维组分，超细纤维部分，零跨度拉伸测量。已被测量的属性，这些属性的四个纸张断裂长度，破坏时的弹性模量，应力和破裂强度。
The goal is to predict the q = 4 paper properties from the p = 4 fiber characteristics.
我们的目标是预测q = 4纸质属性的p = 4纤维的特点。
（作者）----------Author(s)----------
port to <font face="Courier New,Courier" color="#666666"><b>R</b></font> and this help page: Martin Maechler
源----------Source----------
Rousseeuw, P. J., Van Aelst, S., Van Driessen, K., and Agull贸, J. (2004) Robust multivariate regression; Technometrics 46, 293–305.
Rousseeuw，PJ，凡Aelst，S.，凡Driessen的，K.，Agulló，J.（2004）的鲁棒多变量回归;品质管理46，293-305。
http://allserv.ugent.be/~svaelst/data/pulpfiber.txt
参考文献----------References----------
Relationships Between Properties of Pulp-Fibre and Paper, unpublished doctoral thesis, U. Toronto, Faculty of Forestry.
实例----------Examples----------
data(pulpfiber)
str(pulpfiber)
pairs(pulpfiber, gap=.1)
## 2 blocks of 4 ..[＃2幢4 ..]
c1 <- cov(pulpfiber)
cR <- covMcd(pulpfiber)
## how different are they: The robust estimate has more clear high correlations:[＃不同的是，他们的的稳健估计有更清晰的高相关性：]
symnum(cov2cor(c1))
symnum(cov2cor(cR$cov))
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 2012-9-27 22:13:54
