dicho.meanci.z: means and ci from dichotomizing/extreme group design to z

In phoebehlam/michaela: convert statistical metrics for meta-analytic purpose

means and ci from dichotomizing/extreme group design to z

Description

means and confidence interval from dichotomizing/extreme group design to fisher's z
see pustejovsky, 2014. psychological methods.
returns extreme group r (referred to as r (subscript eg) in pustejovsky paper)
for taylor series approximation, defaults 5th term (use dicho.d.z() if you'd like to adjust to lower term)

Usage

dicho.meanci.z(
  m1,
  m2,
  cil1,
  ciu1,
  cil2,
  ciu2,
  n1,
  n2,
  k,
  p1,
  p2,
  result = c("sediff", "cil", "ciu")
)

Arguments

m1	mean of group 1
m2	mean of group 2
cil1	lower bound of 95 confidence interval for group 1 mean
ciu1	upper bound of 95 confidence interval for group 1 mean
cil2	lower bound of 95 confidence interval for group 2 mean
ciu2	upper bound of 95 confidence interval for group 2 mean
n1	cell size of group 1
n2	cell size of group 2
k	number of predictors
p1	cutoff percentile for group 1 (sample-based, please see other formulas for population-based in pustejovsky, 2014)
p2	cutoff percentile for group 2 (sample-based, please see other formulas for population-based in pustejovsky, 2014)

Examples

dicho.meanci.z(5, 3, 3, 6, 1, 4, 30, 31, 0, .33, .33)

phoebehlam/michaela documentation built on Oct. 23, 2024, 4:10 p.m.