Create an ab.df for the dsr approach

The resulting data frame is required for derounding b simulting rounding (dsr) approach. It contains a row for all considered combinations of z and s and window half-width h in h.seq. The columns share.below and share.above indicate which share of derounded z-statistics are inside the window and either fall below or above the threshold z0, respectively. Note that 1-share.above-share.below is the share of derounded z-statistics that fall outside the considered window.

dsr.ab.df(
  dat,
  h.seq = c(0.05, 0.075, 0.1, 0.2, 0.3, 0.4, 0.5),
  z0 = 1.96,
  min.n = 10000,
  min.rounds = 5,
  verbose = TRUE
)

Arguments

dat	the data frame that should contain at least the columns z and num.deci (number fo decimal places of mu and sigma, maximum of both)
h.seq	all considered window half-widths
z0	the significance threshold. Can be a single number or a vector with one element per row of dat.
min.n	how many z values shall be minimally rounded to compute the derounded z-distribution for each observation.
min.rounds	how many repetitions of rounding z-values shall there be at least (even if min.n is already reached).
verbose	Shall some progress information be shown? (This function can take a while).