gofTest(tweeDEseq)
gofTest()所属R语言包：tweeDEseq
Test the goodness of fit of every row in a matrix of counts
在计数矩阵的每一行的拟合优度测试
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Function to test the goodness of fit of every row in a matrix of counts
功能测试中的计数矩阵的每一行的拟合优度
用法----------Usage----------
gofTest(counts, a = 0, mc.cores = 1)
参数----------Arguments----------
参数：counts
matrix of counts
计数矩阵
参数：a
numeric scalar smaller than 1. The function will test whether the shape parameter is equal to the introduced 'a' (default is 0).
数字标量小于1。该函数将测试的形状参数是否等于引进的“A”（默认为0）。
参数：mc.cores
number of cpu cores to be used. This option is only available when the 'multicore' package is installed and loaded first. In such a case, if the default value of mc.cores=1 is not changed, all available cores will be used.
要使用的CPU核心的数量。此选项仅适用于多核包安装时，首先加载。默认值mc.cores=1没有改变，在这种情况下，所有可用的内核将被使用。
Details
详情----------Details----------
By default a = 0, and therefore the function tests for every row of the input matrix of counts whether the count data follows a Negative-Binomial distribution. In this case, a Likelihood Ratio Test is performed. When the given value for 'a' is different from 0, a Wald test is performed. This function calls testShapePT.
默认情况下，= 0，因此，输入矩阵的计数，计数数据是否遵循一个负二项分布的每一行的功能测试。在这种情况下，似然比检验。当一给定值是从0不同，Wald检验。此函数调用testShapePT。
值----------Value----------
a vector of statistics that follows a χ^2 distribution with one degree of freedom under the null hypothesis.
向量的统计χ^2分配如下一零假设下的自由程度。
参考文献----------References----------
A flexible count data model to fit the wide diversity of expression profiles arising from extensively replicated RNA-seq experiments. Submitted.
using the Poisson-Tweedie family. Environmetrics 22, pages 152-164.
overdispersed count data by mixtures of poisson variables and poisson processes. Biometrics 53, pages 1225-1238.
参见----------See Also----------
testShapePT
testShapePT
举例----------Examples----------
## Generate a random matrix of counts[＃生成随机数矩阵]
counts <- matrix(rPT(n=2000, a=0.5, mu=10, D=5), nrow=20)
## Perform the goodness-of-fit tests for every row in the matrix[＃执行矩阵中的每一行，善良的拟合试验]
chi2gof <- gofTest(counts)
## Calculate and sort the corresponding P-values for the[＃计算和整理相应的P值]
## null hypothesis that counts follow a negative binomial distribution[＃空的假设计算遵循负二项分布]
sort(pchisq(chi2gof, df=1, lower.tail=FALSE))
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 2012-2-26 15:50:24
