Master function

This function does all of the steps in a single unified function.

corr_meta(
  data,
  n,
  type = c("average", "weighted", "simple"),
  missing = "remove",
  variable_names = NULL,
  ID = NULL,
  effect_size,
  var_cor,
  weights = NULL,
  moderators = NULL,
  random_params = NULL,
  structure = "CS",
  test = "t",
  intercept = FALSE,
  estimation_method = "REML",
  model = NULL,
  num_obs = NULL,
  ...
)

Arguments

data	Raw data input
n	Sample size
type	type of adjustment (olkin siotani)
missing	What to do with missing data
variable_names	An optional character vector specifying variable names of original data. This is mostly used to pass to `df_to_corr`. A character vector of variable names representing the columns to convert to a pairwise correlation matrix. Variable names take the following format: "columnname_rowname" where the name prior to the underscore is the column name and the name after the underscore is the row name.
ID	A variable name, as a character string, to use as names for the list elements.
effect_size	A vector of observed effect sizes to be modeled with metafor. See `rma.mv` for more details.
var_cor	Variance covariance matrix of sampling errors or sampling weights passed on to metafor. See `rma.mv` for more details.
weights	Optional weights matrix passed to metafor. Default is NULL. See `rma.mv` for more details.
moderators	Moderators (covariates, predictors) to be included in the analysis with metafor. Default is NULL meaning no predictors. See `rma.mv` for more details.
random_params	Specification of the random effect structure. This argument takes the form a single sided formula. Default is NULL which means a fixed effects model will be fitted with metafor. See `rma.mv` for more details.
structure	The variance structure passed to metafor. Default is "CS" which represents compound symmetry. See `rma.mv` for more details.
test	What type of test statistic should be used. Default is a t-statistic. See `rma.mv` for more details.
intercept	Should an intercept be included in the metafor model. See `rma.mv` for more details.
estimation_method	Estimation method to pass on to metafor. Default is "REML". See `rma.mv` for more details.
model	This is model syntax specified in the format by lavaan.
num_obs	Number of observations
...	Additional parameters passed to metafor. See `rma.mv` for more details.

Arguments

See also