es_from_user_adj {metaConvert}

Directly input an adjusted value + variance of an effect size measure

Description

Directly input an adjusted value + variance of an effect size measure

Usage

es_from_user_adj(
  measure,
  user_es_measure_adj,
  user_es_adj,
  user_se_adj,
  user_ci_lo_adj,
  user_ci_up_adj
)

Arguments

measure

the effect size measure used in calculations (must be one of the 11 effect size measures available in metaConvert)

user_es_measure_adj

the name of the effect size measure that will appear when this function is called by the convert_df function (can be any character string)

user_es_adj

adjusted effect size value

user_se_adj

adjusted standard error of the effect size

user_ci_lo_adj

adjusted lower bound of the 95% CI around the effect size value

user_ci_up_adj

adjusted upper bound of the 95% CI around the effect size value

Details

This function is a generic function allowing to include any adjusted effect size measure value + variance. Importantly, with this function, no conversions are performed (i.e., the effect size value + variance you enter is the value + variance exported by this function).

Value

This function allows to directly input any of the 11 effect size measures

natural effect size measure	Any of the 11 available measures
converted effect size measure	No conversion performed
required input data	See 'Section 24. User's input (adjusted)'
	https://metaconvert.org/html/input.html

Examples

dat = data.frame(measure = "OR", user_es_measure_adj = "adjusted OR",
                 user_es_adj = -0.04, user_se_adj = 0.2)
summary(convert_df(dat, measure="logor"))