UCBAdmissions(datasets)
UCBAdmissions()所属R语言包：datasets
Student Admissions at UC Berkeley
在加州大学伯克利分校的学生入学
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Aggregate data on applicants to graduate school at Berkeley for the six largest departments in 1973 classified by admission and sex.
对申请人的汇总数据伯克利分校毕业的学校在1973年六大入学和性别分类的部门。
用法----------Usage----------
格式----------Format----------
A 3-dimensional array resulting from cross-tabulating 4526 observations on 3 variables. The variables and their levels are as follows:
3跨制表4526观察3个变量的二维数组。变量和水平如下：
Name
名称
Admit
承认
Gender
性别
Dept
部
Details
详情----------Details----------
This data set is frequently used for illustrating Simpson's paradox, see Bickel et al.\ (1975). At issue is whether the data show evidence of sex bias in admission practices. There were 2691 male applicants, of whom 1198 (44.5%) were admitted, compared with 1835 female applicants of whom 557 (30.4%) were admitted. This gives a sample odds ratio of 1.83, indicating that males were almost twice as likely to be admitted. In fact, graphical methods (as in the example below) or log-linear modelling show that the apparent association between admission and sex stems from differences in the tendency of males and females to apply to the individual departments (females used to apply more to departments with higher rejection rates).
这组数据是经常用来说明辛普森悖论，看到Bickel等。\（1975年）。目前的问题是，是否有数据显示录取实践中的性别偏见的证据。共有2691男性申请人，其中被录取1198人（44.5％），比1835 557（30.4％），其中被录取的女申请人。这使样本胜算比为1.83，表明男性几乎两倍，可能被录取。事实上，图形的方法（如在下面的例子）或数线性模型显示，入学和性别茎之间的差异，在男性和女性的倾向明显协会申请的个别部门（使用到部门申请更多的女性排斥反应发生率较高）。
This data set can also be used for illustrating methods for graphical display of categorical data, such as the general-purpose mosaic plot or the fourfold display for 2-by-2-by-k tables. See the home page of Michael Friendly (http://www.math.yorku.ca/SCS/friendly.html) for further information.
这组数据可以说明分类数据，如通用镶嵌图或四倍显示，图形显示的方法也可用于2-2-k表。进一步信息，请参阅迈克尔友好（http://www.math.yorku.ca/SCS/friendly.html）的主页。
参考文献----------References----------
Sex bias in graduate admissions: Data from Berkeley. Science, 187, 398–403.
举例----------Examples----------
require(graphics)
## Data aggregated over departments[＃以上部门的数据汇总]
apply(UCBAdmissions, c(1, 2), sum)
mosaicplot(apply(UCBAdmissions, c(1, 2), sum),
main = "Student admissions at UC Berkeley")
## Data for individual departments[＃为个别部门的数据]
opar <- par(mfrow = c(2, 3), oma = c(0, 0, 2, 0))
for(i in 1:6)
mosaicplot(UCBAdmissions[,,i],
xlab = "Admit", ylab = "Sex",
main = paste("Department", LETTERS[i]))
mtext(expression(bold("Student admissions at UC Berkeley")),
outer = TRUE, cex = 1.5)
par(opar)
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 2012-2-16 19:57:39
