organize_database: Organize a database of multi-construct or moderated...
In psychmeta: Psychometric Meta-Analysis Toolkit

organize_database

R Documentation

Organize a database of multi-construct or moderated information

Description

Organize a database of multi-construct or moderated information

Usage

organize_database(
  es_data,
  sample_id = NULL,
  citekey = NULL,
  construct_x = NULL,
  construct_y = NULL,
  facet_x = NULL,
  facet_y = NULL,
  measure_x = NULL,
  measure_y = NULL,
  data_x = NULL,
  data_y = NULL,
  moderators = NULL,
  use_as_x = NULL,
  use_as_y = NULL,
  construct_order = NULL,
  cat_moderators = TRUE,
  moderator_levels = NULL
)

Arguments

`es_data`	Matrix of effect-size data to be used in meta-analyses.
`sample_id`	Optional vector of identification labels for studies in the meta-analysis.
`citekey`	Optional vector of bibliographic citation keys for samples/studies in the meta-analysis (if multiple citekeys pertain to a given effect size, combine them into a single string entry with comma delimiters (e.g., "citkey1,citekey2").
`construct_x`	Vector of construct names for construct initially designated as X.
`construct_y`	Vector of construct names for construct initially designated as Y.
`facet_x`	Vector of facet names for construct initially designated as X.
`facet_y`	Vector of facet names for construct initially designated as Y.
`data_x`	Additional data (e.g., artifact information) specific to the variables originally designated as X.
`data_y`	Additional data (e.g., artifact information) specific to the variables originally designated as Y.
`moderators`	Matrix, dataframe, or vector of moderators.
`use_as_x`	Vector of construct names to be categorized as X constructs - cannot overlap with the contents of 'use_as_y'.
`use_as_y`	Vector of construct names to be categorized as Y constructs - cannot overlap with the contents of 'use_as_x'.
`construct_order`	Vector indicating the order in which variables should be arranged, with variables listed earlier in the vector being preferred for designation as X.
`cat_moderators`	Logical vector identifying whether each variable in moderators is a categorical variable (TRUE) or a continuous variable (FALSE).
`moderator_levels`	Optional list of factor levels to be applied to the categorical moderators.