In rebastaba: Handling Bayesian networks

Description Usage Arguments Value Examples

(dn) prints a dn object with more or less details. If the score is wanted, first transform the /dn/ with score4dn.

1 2	print8dn(x, ..., quoi="tu", qui=rbsb.cha0, sorting=rbsb.num0, ndec=3, simu=1:10)

`x`	the dn to print
`...`	Further arguments to be passed to the print function.
`quoi`	(`character(1)`) a character string indicating what to print, t: just the size and name, d: description, v: variable names, D: the domains of every variable, i: some individuals as indicated by simu (in the natural order if s is not present) s: indicates that the individuals must be ordered according to the score. u: univariate statistics, b: bivariate statistics, a: all options = td
`qui`	(`character(0:1)`) The variables which must be considered for the printing. The default implies all of them, if not either a character vector providing the nodes or a numeric vector with the iin (internal numbers of them). Using this argument is a way to modify the order of displaying the variables when printing.
`sorting`	(`numeric` or `character`) indicates the variable upon which the individuals have to be sorted before printing (has got priority with respect to '
`ndec`	number of decimals used to print the values of the numeric variables.
`simu`	, which simulated values to print? when 0: no simulated values are printed, when a vector: indicates the numbers of simulations to print (default = the first ten), when a value: the percentage to be printed (50 = half of the simulations)

returns nothing but a printing is performed

 rebastaba3k("RESET");
 print(rebastaba.dn2);
 rebastaba.mnu <- 8;
 print(score4dn(rebastaba.dn2));
 print(rebastaba.dn4, quoi="a");
 print(rebastaba.dn4, sorting="A");