Count CLOSURE samples in advance — closure_count

Determine how many samples closure_generate() would find for a given set of summary statistics.

closure_count_all() counts all CLOSURE samples that correspond to the input summary statistics, but without actually generating the samples. This is much faster than closure_generate() if there are many results.
closure_count_initial() only counts the first round of samples, from which all other ones would be generated. Based on scale range only.

This can help predict how much time closure_generate() would take, and avoid prohibitively long runs.

Usage

closure_count_all(
  mean,
  sd,
  n,
  scale_min,
  scale_max,
  rounding = "up_or_down",
  threshold = 5
)

closure_count_initial(scale_min, scale_max)

Arguments

mean: String (length 1). Reported mean.
sd: String (length 1). Reported sample standard deviation.
n: Numeric (length 1). Reported sample size.
scale_min, scale_max: Integers (length 1 each). Minimum and maximum of the scales to which the reported statistics refer.
rounding: String (length 1). Rounding method assumed to have created mean and sd. See Rounding options, but also the Rounding limitations section below. Default is "up_or_down" which, e.g., unrounds 0.12 to 0.115 as a lower bound and 0.125 as an upper bound.
threshold: Numeric (length 1). Number from which to round up or down, if rounding is any of "up_or_down", "up", and "down". Default is 5.

Value

Integer (length 1).

Examples

closure_count_all(
  mean = "3.5",
  sd = "1.7",
  n = 70,
  scale_min = 1,
  scale_max = 5
)
#> [1] 2492

closure_count_initial(scale_min = 1, scale_max = 5)
#> [1] 15