Description Usage Arguments Value Note See Also Examples

This function is used to calculate user defined statistics for the (original and) sampled matrices. A user defined function has to be provided.

1 |

`RSobj` |
object as obtained from using |

`userfunc` |
a user defined function which performs operations on the (original and) sampled matrices. The first argument in the definition of the user function must be an object of type matrix. |

`...` |
further arguments, that are passed to the user function |

A list of objects as specified in the user supplied function

The encoded matrices that are contained in the
input object `RSobj`

are decoded and passed to the user function in turn.
If `RSobj`

is not an object obtained from either `rsampler`

or `rsextrobj`

or
no user function is specified an error message is printed.
A simple user function, `phi.range`

, is included in
the RaschSampler package for demonstration purposes.

`rstats`

can be used to obtain the 0/1 values for any
of the sampled matrices (see second example below). Please note,
that the output from the user function is stored in a list where
the number of components corresponds to the number of matrices passed
to the user function (see third example).

1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 | ```
ctr <- rsctrl(burn_in = 10, n_eff = 5, step=10, seed = 12345678, tfixed = FALSE)
mat <- matrix(sample(c(0,1), 50, replace = TRUE), nr = 10)
rso <- rsampler(mat, ctr)
rso_st <- rstats(rso,phi.range)
unlist(rso_st)
# extract the third generated matrix
# (here, the first is the input matrix)
# and decode it into rsmat
rso2 <- rsextrobj(rso,4,4)
summary(rso2)
rsmat <- rstats(rso2, function(x) matrix(x, nr = rso2$n))
print(rsmat[[1]])
# extract only the first r rows of the third generated matrix
mat<-function(x, nr = nr, r = 3){
m <- matrix(x, nr = nr)
m[1:r,]
}
rsmat2 <- rstats(rso2, mat, nr=rso$n, r = 3)
print(rsmat2[[1]])
# apply a user function to the decoded object
print(phi.range(rsmat[[1]]))
``` |

RaschSampler documentation built on May 1, 2019, 8:19 p.m.

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