smc {scrime}

Simple Matching Coefficient and Cohen's Kappa

Description

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.

Usage

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

Arguments

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).

Value

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

Author(s)

Holger Schwender, [e-mail]

See Also

pcc

Examples

## 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)