Description Usage Arguments Value Author(s) See Also Examples

Computes the values of (the corrected) Pearson's contingency coefficient for all pairs of rows of a matrix.

1 |

`x` |
a numeric matrix consisting of integers between 1 and |

`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 |

`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

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 | ```
## 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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