Rowwise Contigency Tables
Generates a matrix containing a contingency table for each row of a matrix and a vector of class labels.
computeContClass(data, cl, n.cat)
data |
a numeric matrix consisting of integers between 1 and |
cl |
a numeric vector of length |
n.cat |
an integer giving the number of levels the variables can take. If not
specified, |
A list composed of the following two matrices:
mat.obs |
a matrix consisting of m rows and |
mat.exp |
a matrix of the same size as |
Holger Schwender, holger.schwender@udo.edu
Schwender, H.\ (2007). A Note on the Simultaneous Computation of Thousands of Pearson's ChiSquare-Statistics. Technical Report, SFB 475, Deparment of Statistics, University of Dortmund.
## Not run: # Generate an example data set consisting of 10 rows (variables) # and 200 columns (observations) by randomly drawing integers # between 1 and 3, and a vector of class labels of length 200 # indicating that the first 100 observation belong to class 1 # and the other 100 to class 2. mat <- matrix(sample(3, 2000, TRUE), 10) cl <- rep(1:2, e = 100) # Applying computeContClass to this data set out <- computeContClass(mat, cl) # generates the observed numbers of observations out$mat.obs # and the corresponding expected numbers of observations. out$mat.exp ## End(Not run)
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