rowChisqStats(scrime)
rowChisqStats()所属R语言包：scrime
Rowwise Pearson's ChiSquare Statistic
Rowwise Pearson的卡方统计
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Computes for each row of a matrix the value of Pearson's ChiSquare statistic for testing if the corresponding categorical variable is associated with a (categorical) response, or determines for each pair of rows of a matrix the value of Pearson's ChiSquare statistic for testing if the two corresponding variables are independent.
计算每行一个矩阵的值Pearson的卡方统计量，如果在相应的分类变量的相关联的一个（分类）响应进行测试，或确定为各一对的矩阵行Pearson的卡方统计量的值进行测试，如果两个相应的变量都是独立的。
用法----------Usage----------
rowChisqStats(data, cl, compPval = TRUE, asMatrix = TRUE)
参数----------Arguments----------
参数：data
a numeric matrix consisting of the integers between 1 and n.cat, where n.cat is the maximum number of levels the categorical variables can take. Each row of data must correspond to a variable, each row to an observation. Missing values and different numbers of levels a variable might take are allowed.
一个数字矩阵之间的整数n.cat，其中n.cat是分类变量可以采取的最大数量的水平。 data的每一行对应一个变量，每行观察。缺失值和水平变量可能采取的不同的检测号码，是允许的。
参数：cl
a numeric vector of length ncol(data) containing the class labels for the observations represented by the columns of data. The class labels must be coded by the integers between 1 and n.cl, where n.cl is the number of classes. If missing, the value of the statistic for Pearson's ChiSquare-test of independence will be computed for each pair of rows of data. Otherwise, the value of Pearson's ChiSquare-statistic for testing if the distribution of the variable differs between the groups specified by cl will be determined for each row of data.
一个数值向量的长度ncol(data)包含类标签的列data代表的意见。类标签必须被编码之间的整数n.cl，其中n.cl的班级数目。如果缺少，Pearson的ChiSquare-测试的独立的统计量的值将被计算为每对行data。否则，将确定的每一行ChiSquare，Pearson的cl的统计测试的变量的分布不同群体之间的指定data，。
参数：compPval
should also the p-value (based on the approximation to a ChiSquare-distribution) be computed?
也应的p-值（基于近似ChiSquare分布）来计算？
参数：asMatrix
should the pairwise test scores be returned as matrix? Ignored if cl is specified. If TRUE, a matrix with m rows and columns is returned that contains the values of Pearson's ChiSquare-statistic in its lower triangle, where m is the number of variables. If FALSE, a vector of length m * (m - 1) / 2 is returned, where the value for testing the ith and jth variable is given by the j + m * (i - 1) - i * (i - 1) / 2 element of this vector.
成对的考试成绩应返回的矩阵？如果忽略cl指定。 TRUE如果，m行和列的矩阵返回一个包含Pearson的ChiSquare-统计量的值在其下方的三角形，其中m是变量的数目。如果FALSE，一个向量的长度m * (m - 1) / 2返回，i测试个的价值在哪里j个变量j + m * (i - 1) - i * (i - 1) / 2元素的这个向量。
值----------Value----------
If compPval = FALSE, a vector (or matrix if cl is not specified and as.matrix = TRUE) composed of the values of Pearson's ChiSquare-statistic. Otherwise, a list consisting of <table summary="R valueblock"> <tr valign="top"><td>stats</td> <td> a vector (or matrix) containing the values of Pearson's ChiSquare-statistic.</td></tr> <tr valign="top"><td>df</td> <td> a vector (or matrix) comprising the degrees of freedom of the asymptotic ChiSquare-distribution.</td></tr> <tr valign="top"><td>rawp</td> <td> a vector (or matrix) containing the (unadjusted) p-values.</td></tr> </table>
如果compPval = FALSE，一个向量（或矩阵如果cl没有被指定，as.matrix = TRUE）由Pearson的ChiSquare-统计量的值。否则，列表中的<table summary="R valueblock"> <tr valign="top"> <TD> stats</ TD> <td>一个向量（或矩阵）的值Pearson的ChiSquare-统计量。</ TD> </ TR> <tr valign="top"> <TD>df </ TD> <td>一个向量（或矩阵），它包括的自由度的渐近ChiSquare分配。</ TD> </ TR> <tr valign="top"> <TD> rawp</ TD> <td>一个向量（或矩阵）（未经调整）的p值</ TD> </ TR> </ TABLE>
注意----------Note----------
Contrary to chisq.test, currently no continuity correction is done for 2 x 2 tables.
相反，chisq.test，目前没有连续性校正2 x 2的表格。
（作者）----------Author(s)----------
Holger Schwender, <a href="mailto:holger.schwender@udo.edu">holger.schwender@udo.edu</a>
参考文献----------References----------
Schwender, H.\ (2007). A Note on the Simultaneous Computation of Thousands of Pearson's <code>ChiSquare</code>-Statistics. Technical Report, SFB 475, Deparment of Statistics, University of Dortmund.
参见----------See Also----------
computeContCells, computeContClass
computeContCells，computeContClass
实例----------Examples----------
# Generate an example data set consisting of 5 rows (variables)[生成的示例数据集，包括5行（变量）]
# and 200 columns (observations) by randomly drawing integers [列和200列（观察）随机抽取整数]
# between 1 and 3.[在1和3之间。]
mat <- matrix(sample(3, 1000, TRUE), 5)
rownames(mat) <- paste("SNP", 1:5, sep = "")
# For each pair of rows of mat, test if they are independent.[对于每对行垫子，测试，如果它们是独立的。]
r1 <- rowChisqStats(mat)
# The values of Pearson's ChiSquare statistic as matrix.[Pearson的卡方统计值矩阵。]
r1$stats
# And the corresponding (unadjusted) p-values.[相应的（未经调整）的p值。]
r1$rawp
# Obtain only the values of the test statistic as vector[仅获得的检验统计量的值，作为矢量]
rowChisqStats(mat, compPval = FALSE, asMatrix =FALSE)
# Generate an example data set consisting of 10 rows (variables)[生成的示例数据集由10行（变量）]
# and 200 columns (observations) by randomly drawing integers [列和200列（观察）随机抽取整数]
# between 1 and 3, and a vector of class labels of length 200[在1和3之间，和一个向量的长度为200的类标记]
# indicating that the first 100 observation belong to class 1[表明第100观察属于1类]
# and the other 100 to class 2. [和其他100至2级。]
mat2 <- matrix(sample(3, 2000, TRUE), 10)
cl <- rep(1:2, e = 100)
# For each row of mat2, test if they are associated with cl.[对于每一行MAT2，测试是当它们存在与与cl。]
r2 <- rowChisqStats(mat2, cl)
r2$stats
# And the results are identical to the one of chisq.test[和结果之一chisq.test相同的]
pv <- stat <- numeric(10)
for(i in 1:10){
tmp <- chisq.test(mat2[i,], cl)
pv[i] <- tmp$p.value
stat[i] <- tmp$stat
}
all.equal(r2$stats, stat)
all.equal(r2$rawp, pv)
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 2012-9-29 23:03:29
