ma_generic | R Documentation |
This function computes bare-bones meta-analyses of any effect size using user-supplied effect error variances.
ma_generic( es, n, var_e, sample_id = NULL, citekey = NULL, construct_x = NULL, construct_y = NULL, group1 = NULL, group2 = NULL, wt_type = c("sample_size", "inv_var", "DL", "HE", "HS", "SJ", "ML", "REML", "EB", "PM"), moderators = NULL, cat_moderators = TRUE, moderator_type = c("simple", "hierarchical", "none"), data = NULL, control = control_psychmeta(), weights = NULL, ... )
es |
Vector or column name of observed effect sizes. |
n |
Vector or column name of sample sizes. |
var_e |
Vector or column name of error variances. |
sample_id |
Optional vector of identification labels for samples/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").
When |
construct_x, construct_y |
Vector of construct names for constructs designated as "X" and as "Y". |
group1, group2 |
Vector of groups' names associated with effect sizes that represent pairwise contrasts. |
wt_type |
Type of weight to use in the meta-analysis: native options are "sample_size" and "inv_var" (inverse error variance). Supported options borrowed from metafor are "DL", "HE", "HS", "SJ", "ML", "REML", "EB", and "PM" (see metafor documentation for details about the metafor methods). |
moderators |
Matrix of moderator variables to be used in the meta-analysis (can be a vector in the case of one moderator). |
cat_moderators |
Logical scalar or vector identifying whether variables in the |
moderator_type |
Type of moderator analysis ("none", "simple", or "hierarchical"). |
data |
Data frame containing columns whose names may be provided as arguments to vector arguments and/or moderators. |
control |
Output from the |
weights |
Optional vector of weights to be used. When |
... |
Further arguments to be passed to functions called within the meta-analysis. |
A nested tabular object of the class "ma_psychmeta".
es <- c(.3, .5, .8) n <- c(100, 200, 150) var_e <- 1 / n ma_obj <- ma_generic(es = es, n = n, var_e = var_e) ma_obj summary(ma_obj)
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