computeContCells(scrime)
computeContCells()所属R语言包：scrime
Pairwise Contingency Tables
两两列联表
译者：生物统计家园网 机器人LoveR
描述----------Description----------
Computes a contingency table for each pair of rows of a matrix, and stores all contigency table in a matrix.
计算一个为每个对一个矩阵的行的列联表，并存储在一个矩阵的所有contigency表。
用法----------Usage----------
computeContCells(data, computeExp = TRUE, justDiag = FALSE,
check = TRUE, n.cat = NULL)
参数----------Arguments----------
参数：data
a numeric matrix consisting of integers between 1 and n.cat. It is assumed that each row of these matrix represents a variable. Missing values and different numbers of categories a variable can take are allowed.
一个数字矩阵之间的整数1和n.cat。据推测，这些矩阵的每一行代表一个变量。缺失值和分类变量可以采取不同的检测号码，是允许的。
参数：computeExp
should the numbers of observations expected under the null hypothesis that the respective two variables are independent also be computed? Required when computeContCells is used to compute Pearson's ChiSquare-statistic.
应的数目的零假设下，相应的两个变量是独立的预期的观测也可以计算？需要时computeContCells是用来计算Pearson的ChiSquare的统计。
参数：justDiag
should only the diagonal elements of the contingency tables, i.e.\ n.ii, i = 1, …, n.cat, be computed?
应该只列联表的对角元素，即\n.ii，i = 1, …，n.cat，可以计算吗？
参数：check
should data be checked more thoroughly? It is highly recommended to use check = TRUE.
data检查更彻底呢？我们强烈建议使用check = TRUE。
参数：n.cat
integer specifying the maximum number of levels a variable can take. If NULL, this number will be computed. It is highly recommended not to change the default.
整数，指定一个变量可以采取的最大数量的水平。如果NULL，这个数字将被计算。我们强烈建议不要更改默认的。
值----------Value----------
A list consisting of two matrices each consisting of m * (m - 1) / 2 rows and n.cat^2 columns, where m is the number of rows of data. One of these matrices called mat.obs contains in each row the values of the contingency table for a particular pair of rows of data, where the contigency table of the variables represented by the ith and jth row of data is shown in the j + m * (i - 1) - i * (i - 1) / 2 row of mat.obs. The other matrix called mat.exp consists of the corresponding numbers of observations expected under the null hypothesis that the respective two variables are independent.
组成的列表中的各两个矩阵组成的m * (m - 1) / 2行和n.cat ^2列，其中m是data的数量的行。这些矩阵之一称为mat.obs包含在每一行的值的应变表针对特定行的对datacontigency，其中表中的变量表示的第i个和第j行dataj + m * (i - 1) - i * (i - 1) / 2行mat.obs。其他矩阵名为mat.exp的由相应的数字预计的零假设下，相应的两个变量是独立的观察。
（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----------
computeContClass, rowChisqStats
computeContClass，rowChisqStats
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)
# Generate the matrix containing the contingency tables for each[生成矩阵的列联表为每个]
# pair of rows of mat.[对垫子的行。]
out <- computeContCells(mat)
# out contains both the observed numbers of observations [满分包含同时观测到的观测数]
# summarized by contingency tables[总结通过列联表]
out$mat.obs
# and the number of observations expected under the null hypothesis[和预期的零假设下的若干意见]
# of independence.[的独立性。]
out$mat.exp
# If, e.g., only the observed number of observations having the same [如果，例如，仅观察到的具有相同数目的观察]
# value is of interest, call[值有兴趣，]
computeContCells(mat, computeExp = FALSE, justDiag = TRUE)
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 2012-9-29 23:01:57
