Compute HSMD effect-size columns

Usage

hsmd_effect_sizes(
  data,
  mT,
  sdT,
  nT,
  mC,
  sdC,
  nC,
  probs = c(0.25, 0.5, 0.75),
  cv_by = NULL,
  cv_benchmarks = NULL
)

Arguments

data: A data frame containing treatment and control summary statistics.
mT, sdT, nT: Unquoted column names for treatment-group mean, standard deviation, and sample size.
mC, sdC, nC: Unquoted column names for control-group mean, standard deviation, and sample size.
probs: Numeric vector of coefficient-of-variation quantiles to use for harmonization. Defaults to c(0.25, 0.50, 0.75).
cv_by: Optional unquoted column used to compute coefficient-of-variation benchmarks within subgroups, such as outcomes or domains.
cv_benchmarks: Optional named list with elements treatment and control, each a numeric vector of benchmark CVs aligned with probs.

Value

A list with prepared data, effect_sizes, probs, prob_names, and coefficient-of-variation benchmarks.

Examples

hsmd_cols <- hsmd_effect_sizes(
  hsmd_example_1,
  mT = mT,
  sdT = sdT,
  nT = nT,
  mC = mC,
  sdC = sdC,
  nC = nC
)
names(hsmd_cols$effect_sizes)
#>  [1] "d"    "vd"   "g"    "vg"   "d25"  "vd25" "g25"  "vg25" "d50"  "vd50"
#> [11] "g50"  "vg50" "d75"  "vd75" "g75"  "vg75"