ci.se: ci to se

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

ci to se

Description

compute standard error from confidence interval
we recommend checking the computations by using result = "diff". see below.
computations are based on t-distribution, not z

Usage

ci.se(est, cil, ciu, n, k, result = c("ciu", "cil", "avg", "diff", "marge"))

Arguments

est	the point estimate (e.g., a regression coefficient, a mean)
cil	the lower bound of the confidence interval
ciu	the upper bound of the confidence interval
n	the sample size
k	the total number of predictors. for converting the ci associated with a raw mean, enter k = 0.
result	select one of: "ciu" will compute se based on upper bound of ci (this is the default if unspecified) "cil" will compute se based on lower bound of ci "avg" will compute se from both ciu and cil and take the average "diff" will give the difference between the se computed using ciu and using cil. for transformed point estimate, see sediff() function.

Examples

# e.g., regression b=.156, 95CI [.10, .225], n=166, 3 total predictors
ci.se(.156, .10, .225, 166, 3)

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