View source: R/methods_anova.R
anova.ma_psychmeta | R Documentation |
This function computes Wald-type pairwise comparisons for each level of
categorical moderators for an ma_psychmeta
object, as well as an ombnibus
one-way ANOVA test (equal variance not assumed).
Currently, samples across moderator levels are assumed to be independent.
## S3 method for class 'ma_psychmeta' anova( object, ..., analyses = "all", moderators = NULL, L = NULL, ma_obj2 = NULL, ma_method = c("bb", "ic", "ad"), correction_type = c("ts", "vgx", "vgy"), conf_level = NULL )
object |
A psychmeta meta-analysis object. |
... |
Additional arguments. |
analyses |
Which analyses to to test moderators for? Can be either |
moderators |
A character vector of moderators to test. If |
L |
A named list with with elements specifying set of linear contrasts for each variable in |
ma_obj2 |
A second psychmeta meta-analysis object to compare to |
ma_method |
Meta-analytic methods to be included. Valid options are: "bb", "ic", and "ad" |
correction_type |
Types of meta-analytic corrections to be included. Valid options are: "ts", "vgx", and "vgy" |
conf_level |
Confidence level to define the width of confidence intervals (defaults to value set when |
An object of class anova.ma_psychmeta
. A tibble with a row for each construct pair in object
and a column for each moderator tested. Cells lists of contrasts tested.
Currently, only simple (single) categorical moderators (one-way ANOVA) are supported.
ma_obj <- ma_r(rxyi, n, construct_x = x_name, construct_y = y_name, moderators = moderator, data = data_r_meas_multi) anova(ma_obj)
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