wtd.t.test(weights)
wtd.t.test()所属R语言包：weights
Produces weighted Student's t-tests with standard errors and significance.
生成加权学生的t检验的标准误差和意义。
译者：生物统计家园网 机器人LoveR
描述----------Description----------
wtd.t.test produces either one- or two-sample t-tests comparing weighted data streams to one another.
wtd.t.test产生一个或两个样本t检验比较彼此的加权数据流。
用法----------Usage----------
wtd.t.test(x, y=0, weight=NULL, weighty=NULL, samedata=TRUE)
参数----------Arguments----------
参数：x
x is a numerical vector which the researcher wishes to test against y.
x是一个数值向量，研究人员希望测试y。
参数：y
y can be either a single number representing an alternative hypothesis or a second numerical vector which the researcher wishes to compare against x.
y可以是一个单一的数字，代表的假说，研究人员希望对x比较的第二个数值向量。
参数：weight
weight is an optional vector of weights to be used to determine the weighted mean and variance for the x vector for all t-tests. If weighty is unspecified and samedata is TRUE, this weight will be assumed to apply to both x and y.
weight是一个可选被用来确定加权x对所有的t-测试向量的均值和方差的权重向量。如果weighty是不确定的，并且samedata是TRUE，这样的重量将被假定为适用于两个x和y。
参数：weighty
weighty is an optional vector of weights to be used to determine the weighted mean and variance for the y vector for two-sample t-tests. If weighty is unspecified and samedata is TRUE, this weight will be assumed to equal weightx. If weighty is unspecified and samedata is FALSE, this weight will be assumed to equal 1 for all cases.
weighty是一个可选的两样本t测试被用来确定y矢量的加权平均值和方差的权重向量。如果weighty是不确定的，并且samedata是TRUE，这样的重量将被假定为等于weightx。如果weighty是不确定的，并且samedata是FALSE，这样的重量将被假定为等于1的所有情况。
参数：samedata
samedata is an optional identifier for whether the x and y data come from the same data stream for a two-sample test. If true, wtd.t.test assumes that weighty should equal weightx if (1) weighty is unspecified, and (2) the lengths of the two vectors are identical.
samedata是一个可选的标识符是否安装了x和y数据来自同一数据流的双样本检验。如果为true，wtd.t.test假设weighty应等于weightx（1）weighty是不确定的，（2）两个向量的长度是相同的。
值----------Value----------
A list element with an identifier for the test; coefficients for the t value, degrees of freedom, and p value of the t-test; and additional statistics of potential interest.
与测试的标识符的列表元素;系数t值，自由度，和p值的t-检验;和附加的统计数据的潜在利益。
（作者）----------Author(s)----------
Josh Pasek, Assistant Professor of Communication Studies at the University of Michigan (www.joshpasek.com).
参见----------See Also----------
stdz wtd.cor wtd.chi.sq
stdzwtd.corwtd.chi.sq
实例----------Examples----------
test <- c(1,1,1,1,1,1,2,2,2,3,3,3,4,4)
t2 <- rev(test)+1
weight <- c(.5,.5,.5,.5,.5,1,1,1,1,2,2,2,2,2)
wtd.t.test(test, t2)
wtd.t.test(test, t2, weight)
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 21:02:34
