Calculating Statistics for the Sampled Matrices
This function is used to calculate user defined statistics for the (original and) sampled matrices. A user defined function has to be provided.
rstats(RSobj, userfunc, ...)
RSobj |
|
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).
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]]))Please choose more modern alternatives, such as Google Chrome or Mozilla Firefox.