vaso(robustbase)
vaso()所属R语言包：robustbase
Vaso Constriction Data Set
血管收缩数据集
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Finney's data on vaso constriction in the skin of the digits.
芬尼的血管收缩中的数据的位数的皮肤。
用法----------Usage----------
data(vaso)
格式----------Format----------
A data frame with 39 observations on the following 3 variables.
一个数据框到39以下3个变量。
Volume Inhaled volume of air
Volume吸入的空气量
Rate Rate of inhalation
Rate的吸入率
Y vector of 0 or 1 values.
Y0或1的值的矢量。
Details
详细信息----------Details----------
The data taken from Finney (1947) were obtained in a carefully controlled study in human physiology where a reflex “vaso constriction” may occur in the skin of the digits after taking a single deep breath. The response y is the occurence (y = 1) or non-occurence (y = 0) of vaso constriction in the skin of the digits of a subject after he or she inhaled a certain volume of air at a certain rate. The responses of three subjects are available. The first contributed 9 responses, the second contributed 8 responses, and the third contributed 22 responses.
从芬尼（1947）获得的数据，在严格控制的研究人体生理反射性血管收缩“可能会出现在皮肤上的数字后，一个深呼吸。响应y（y = 1时）的发生或不发生（y = 0时），血管收缩中的受试者的皮肤的数字后，他或她在一定的速度吸入一定体积的空气。三科的答复。第一提供的9的反应，第二个提供的8的反应，和第三贡献22响应。
Although the data represent repeated measurements, an analysis that assumes independent observations may be applied, as claimed by Pregibon (1981).
虽然表示重复的数据测量，分析，假定独立的观察可以适用，如权利Pregibon（1981）。
源----------Source----------
Finney, D.J. (1947) The estimation from individual records of the relationship between dose and quantal response. Biometrika 34, 320–334
芬尼，D.J.and （1947）从剂量和量子响应之间的关系的单个记录的估计。生物统计34，320-334
参考文献----------References----------
Robust Diagnostic Regression Analysis, First Edition. New York: Springer, Table A.23.
Multivariate Statistical Modelling Based on Generalized Linear Models, Springer, Table 4.2.
Conditionally unbiased bounded influence estimation in general regression models, with applications to generalized linear models, JASA 84, 460–466.
Logistic regression diagnostics, Annals of Statistics 9, 705–724.
实例----------Examples----------
data(vaso)
str(vaso)
pairs(vaso)
glmV <- glm(Y ~ log(Volume) + log(Rate), family=binomial, data=vaso)
summary(glmV)
## --> example(glmrob) showing classical & robust GLM[＃ - >的例子（glmrob）的经典和强大的GLM]
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。
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发表于 2012-9-27 22:17:01
