Pearson's Contingency Coefficient
Computes the values of (the corrected) Pearson's contingency coefficient for all pairs of rows of a matrix.
pcc(x, dist = FALSE, corrected = TRUE, version = 1)
x |
a numeric matrix consisting of integers between 1 and n.cat,
where n.cat is the maximum number of levels a variable in |
dist |
should the distance based on Pearson's contingency coefficient be computed?
For how this distance is computed, see |
corrected |
should Pearson's contingency coefficient be corrected such that it can
take values between 0 and 1? If not corrected, it takes values between and 0
and sqrt((a - 1) / a),
where a is the minimum of the numbers of levels that the respective
two variables can take. Must be set to |
version |
a numeric value – either 1, 2, or 3 – specifying how the distance is computed.
Ignored if |
A matrix with nrow(x) columns and rows containing the values of (or distances based on)
the (corrected) Pearson's contigency coefficient for all pairs of rows of x.
Holger Schwender, holger.schwender@udo.edu
## Not run: # Generate a data set consisting of 10 rows and 200 columns, # where the values are randomly drawn from the integers 1, 2, and 3. mat <- matrix(sample(3, 2000, TRUE), 10) # For each pair of rows of mat, the value of the corrected Pearson's # contingency coefficient is then obtained by out1 <- pcc(mat) out1 # and the distances based on this coefficient by out2 <- pcc(mat, dist = TRUE) out2 # Note that if version is set to 1 (default) in pcc, then all.equal(sqrt(1 - out1^2), out2) ## End(Not run)
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