snp.rhs.tests(chopsticks)
snp.rhs.tests()所属R语言包：chopsticks
Score tests with SNP genotypes as independent variable
作为独立变量的SNP基因型的分数测试
译者：生物统计家园网 机器人LoveR
描述----------Description----------
This function fits a generalized linear model with phenotype as dependent variable and, optionally, one or more potential confounders of a phenotype-genotype association as independent variable. A series of SNPs (or small groups of SNPs) are then tested for additional association with phenotype. In order to protect against misspecification of the variance function, "robust" tests may be selected.
此功能适合作为因变量，可选一个或多个潜在的混杂因素作为独立变量的表型，基因型协会与表型的广义线性模型。一系列的单核苷酸多态性（或小团体的SNPs），然后测试为额外协会与表型。为了防止误设的方差函数，“稳健”的测试可能被选中。
用法----------Usage----------
snp.rhs.tests(formula, family = "binomial", link, weights, subset, data = parent.frame(),
snp.data, tests=NULL, robust = FALSE,
control=glm.test.control(maxit=20, epsilon=1.e-4, R2Max=0.98), allow.missing=0.01)
参数----------Arguments----------
参数：formula
The base model formula, with phenotype as dependent variable
基本模型公式型，作为因变量
参数：family
A string defining the generalized linear model family. This currently should (partially) match one of "binomial", "Poisson", "Gaussian" or "gamma" (case-insensitive)
一个字符串定义的广义线性模型的家庭。这个目前应该（部分）匹配的"binomial"，"Poisson"，"Gaussian"或"gamma"（不区分大小写）
参数：link
A string defining the link function for the GLM. This currently should (partially) match one of "logit", "log", "identity" or "inverse". The default action is to use the "canonical" link for the family selected
一个字符串定义的GLM的链接功能。这个目前应该（部分）匹配的"logit"，"log"，"identity"或"inverse"。默认的动作是为选定家庭使用的“规范”的链接
参数：data
The dataframe in which the base model is to be fitted
在示范碱基要装的dataframe
参数：snp.data
An object of class "snp.matrix" or "X.snp.matrix" containing the SNP data
一个对象的类"snp.matrix"或"X.snp.matrix"包含的SNP数据
参数：tests
Either a vector of column names or numbers for the SNPs to be tested, or a list of short vectors defining groups of SNPs to be tested (again by name or number). The default action is to carry out all single SNP tests, but single.snp.tests will often achieve the same result much faster
无论是列名或号码的SNPs向量进行测试，或短的向量列表定义组的SNP进行测试（再次按名称或编号）。默认动作是开展所有SNP的单一测试，但single.snp.tests往往会达到同样的效果快得多
参数：weights
"Prior" weights in the generalized linear model
“之前”的重量在广义线性模型
参数：subset
Array defining the subset of rows of data to use
定义data使用的行子集的数组
参数：robust
If TRUE, robust tests will be carried out
如果TRUE，健壮的测试将进行
参数：control
An object giving parameters for the IRLS algorithm fitting of the base model and for the acceptable aliasing amongst new terms to be tested. See\ codeglm.test.control
对象给予示范碱基IRLS算法拟合和参数之间要测试新条款的接受走样。请参阅\ codeglm.test.control
参数：allow.missing
The maximum proportion of SNP genotype that can be missing before it becomes necessary to refit the base model
SNP基因型的最高比例可以失踪之前，有必要改装示范碱基
Details
详情----------Details----------
The tests used are asymptotic chi-squared tests based on the vector of first and second derivatives of the log-likelihood with respect to the parameters of the additional model. The "robust" form is a generalized score test in the sense discussed by Boos(1992). The "base" model is first fitted, and a score test is performed for addition of one or more SNP genotypes to the model. Homozygous SNP genotypes are coded 0 or 2 and heterozygous genotypes are coded 1. For SNPs on the X chromosome, males are coded as homozygous females. For X SNPs, it will often be appropriate to include sex of subject in the base model (this is not done automatically).
测试中使用的是基于对数似然第一次和第二次衍生工具方面的额外模型的参数向量上的渐近卡方测试。 “稳健”的形式是在广义的得分测试布斯（1992年）讨论的意义。首先安装“碱基”模式，与另外一个或多个单核苷酸多态性基因型模型进行分数测试。合子SNP的基因型编码0或2杂合子基因型编码1。 X染色体上的SNP位点，编码为纯合子女性的男性。为X个SNPs，它往往会是适当的，包括在示范碱基的主体性（这不是自动完成的）。
If a data argument is supplied, the snp.data and data objects are aligned by rowname. Otherwise all variables in the model formulae are assumed to be stored in the same order as the columns of the snp.data object.
如果data参数提供，snp.data和data对象由rowname的对齐。否则，所有的模型公式中的变量被假设为在相同的顺序列snp.data对象存储。
值----------Value----------
A data frame containing, for each SNP,
一个数据框，每个SNP，
参数：Chi.squared
The value of the chi-squared test statistic
卡方检验统计量的值
参数：Df
The corresponding degrees of freedom
相应的自由的度
参数：Df.residual
The residual degrees of freedom for the base model; i.e. the number of observations minus the number of parameters fitted
自由的残余度的示范碱基;即减去的安装参数的若干意见
For the binomial family model, the base model can, in some circumstances, lead to perfect prediction of some observations (i.e. fitted probabilities of 0 or 1). These observations are ignored in subsequent calculations; in particular they are not counted in the residual degrees of freedom. Similarly for Poisson means fitted exactly to zero.
示范碱基的为二项式家庭模式，可以在某些情况下，导致了一些意见的完美预测（即0或1的拟合概率）。在随后的计算这些意见被忽略，尤其是他们不自由的残留度计算。同样意味着安装完全零泊松。
注意----------Note----------
A factor (or several factors) may be included as arguments to the function strata(...) in the formula. This fits all interactions of the factors so included, but leads to faster computation than fitting these in the normal way. Additionally, a cluster(...) call may be included in the base model formula. This identifies clusters of potentially correlated observations (e.g. for members of the same family); in this case, an appropriate robust estimate of the variance of the score test is used.
可以作为函数的参数中包含的一个因素（或几个因素）strata(...)formula的。这符合包括所有因素相互作用，但比装修这些在正常的方式，以更快的计算。此外，cluster(...)通话可能被包括在基本模型公式。这标识聚类潜在的相关意见（如为同一家庭的成员），在这种情况下，使用一个合适的得分测试方差稳健估计。
作者（S）----------Author(s)----------
David Clayton <a href="mailto:david.clayton@cimr.cam.ac.uk">david.clayton@cimr.cam.ac.uk</a>
参考文献----------References----------
参见----------See Also----------
single.snp.tests, snp.lhs.tests,
single.snp.tests，snp.lhs.tests
举例----------Examples----------
data(testdata)
slt3 <- snp.rhs.tests(cc~strata(region), family="binomial",
data=subject.data, snp.data= Autosomes, tests=1:10)
print(slt3)
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 2012-2-25 15:01:51
