smc: Simple Matching Coefficient and Cohen's Kappa
In scrime: Analysis of High-Dimensional Categorical Data Such as SNP Data

Description Usage Arguments Value Author(s) See Also Examples

Computes the values of (or the distance based on) the simple matching coefficient or Cohen's Kappa, respectively, for each pair of rows of a matrix.

1 2	smc(x, dist = FALSE) cohen(x, dist = FALSE)

`x`	a matrix consisting of integers between 1 and n.cat, where n.cat is the number of levels the variables in `x` can take. Missing values are allowed.
`dist`	should the distance based on the simple matching coefficient or Cohen's Kappa, respectively, be computed? Note that, e.g., `smc(x, dist = TRUE)` is equal to `1 - smc(x, dist = FALSE)`.

A matrix with nrow(x) columns and rows containing the distances or similarities.

Holger Schwender, holger.schwender@udo.edu

pcc

## 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 row, the value of the simple matching coefficient
# can be obtained by

smc(mat)

# and the distance based on the SMC by

smc(mat, dist = TRUE)


## End(Not run)