RaschSampler (version 0.8.0)

rsextrobj: Extracting Sample Matrices

Description

Utility function to extract some of the generated matrices.

Usage

rsextrobj(RSobj, start = 1, end = 8192)

Arguments

RSobj

object as obtained from using rsampler

start

number of the matrix to start with. When specifying 1 (the default value) the original input matrix is included in the output object.

end

last matrix to be extracted. If end is not specified, all matrices from RSobj are extracted (the maximal value is 8192, see rsctrl). If end is larger than

Value

• A list of class RSmpl with components
• n
  number of rows of the input matrix
• k
  number of columns of the input matrix
• inpmat
  the input matrix
• tfixed
  TRUE, if diagonals of inpmat are fixed
• burn_in
  length of the burn in process
• n_eff
  number of generated matrices (effective matrices)
• step
  controls the number number of void matrices generated in the the burn in process and when effective matrices are generated (see note in rsctrl).
• seed
  starting value for the random number generator
• n_tot
  number of matrices in outvec.
• outvec
  vector of encoded random matrices
• ier
  error code

See Also

rsampler

Examples

ctr <- rsctrl(burn_in = 10, n_eff = 3, step=10, seed = 0, tfixed = FALSE)
mat <- matrix(sample(c(0,1), 50, replace = TRUE), nr = 10)
all_m <- rsampler(mat, ctr)
summary(all_m)

some_m <- rsextrobj(all_m, 1, 2)
summary(some_m)

save(some_m, file = "some.RSobj")
some_new <- load("some.RSobj")
summary(some_new)