es_from_user_adj function

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

es_from_user_adj(
  measure,
  user_es_measure_adj,
  user_es_adj,
  user_se_adj,
  user_ci_lo_adj,
  user_ci_up_adj,
  max_asymmetry = 10
)

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
• max_asymmetry: A percentage indicating the tolerance before detecting asymmetry in the 95% CI bounds.

Returns

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/input.html

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).

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"))