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Generates a matrix containing a contingency table for each row of a matrix and a vector of class labels.
● Data Source:
CranContrib
● Keywords: manip
● Alias: computeContClass
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fblr
(Package: scrime) :
Full Bayesian Logic Regression for SNP Data
Performs full Bayesian logic regression for Single Nucleotide Polymorphism (SNP) data as described in Fritsch and Ickstadt (2007).
● Data Source:
CranContrib
● Keywords: nonlinear, regression
● Alias: fblr, fblr.weight
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rowMsquares
(Package: scrime) :
Rowwise Linear Trend Test Based on Tables
Given a set of matrices, each representing one group of subjects (e.g., cases and controls in a case-control study), that summarize the numbers of subjects showing the different levels of the categorical variables represented by the rows of the matrices, the value of the linear trend statistic based on Pearson's correlation coefficient and described on page 87 of Agresti (2002) is computed for each variable.
● Data Source:
CranContrib
● Keywords: array, htest
● Alias: rowMsquares
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rowCATTs
(Package: scrime) :
Rowwise Cochran-Armitage Trend Test Based on Tables
Given two matrices, each representing one group of subjects (e.g., cases and controls in a case-control study), that summarize the numbers of subjects showing the different (ordered) levels of the ordinal variables represented by the rows of the matrices, the value of the Cochran-Armitage Trend Test statistic is computed for each variable.
● Data Source:
CranContrib
● Keywords: array, htest
● Alias: rowCATTs
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Computes a one-dimensional table for each row of a matrix that summarizes the values of the categorical variables represented by the rows of the matrix.
● Data Source:
CranContrib
● Keywords: array, manip
● Alias: rowTables
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Shortens the entries of the column of a data frame containing the genes associated with the SNPs for which the data frame comprises annotations. Typically used in combination with, i.e. either within or after an application of, buildSNPannotation.
● Data Source:
CranContrib
● Keywords: utilities
● Alias: shortenGeneDescription
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knncatimpute
(Package: scrime) :
Missing Value Imputation with kNN
Imputes missing values in a matrix composed of categorical variables using k Nearest Neighbors.
● Data Source:
CranContrib
● Keywords: NA, classif
● Alias: knncatimpute
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Scales each row of a matrix such that the values in this row have zero mean and a standard deviation of 1.
● Data Source:
CranContrib
● Keywords: array, manip
● Alias: rowScales
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rowChisq2Class
(Package: scrime) :
Rowwise Pearson's ChiSquare Test Based on Tables
Given a set of matrices, each of which represents one group of subjects, and summarizes rowwise the numbers of these observations showing the levels of the categorical variables represented by the rows of the matrices, the value of Pearson's ChiSquare statistic for testing whether the distribution of the variable differs between the different groups is computed for each variable.
● Data Source:
CranContrib
● Keywords: array, htest
● Alias: rowChisq2Class, rowChisqMultiClass
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Computes for each SNP represented by a row of a matrix the frequency of the minor allele.
● Data Source:
CranContrib
● Keywords: array, manip
● Alias: rowMAFs
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providing 
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