README.md

In kitdouble/metaTables: Run meta-regressions and sub-groups analysis on lists of variables and produce tables for publication.

metaTables

Development of the metaTables package

To install:

devtools::install_github("kitdouble/metaTables")

library(metaTables)

Vignettes

Create a new sub-groups table with all levels of a variable

table1 <- subGroups(data = mydata, grouping.factor = "EI_con", es = "yi", vi = "vi", study.id = "study_id", type = "cor")

Add another set of sub-groups to an existing table

table1 <- subGroups(append.table = table1, label = "Attachment Style", data = mydata, grouping.factor = "A_dimension", es = "yi", vi = "vi", study.id = "study_id", type = "cor")

Make a frequency/proportion table

propTable(data = mydata, variables = c("A_dimension", "EI_con"), k = T, study.id = "study_id", labels = c("Attachment", "EI"))

Run Meta-regressions with a single moderator

regTable(data = mydata, moderators = c"A_dimension", es = "yi", vi = "vi", study.id = "study_id", labels = c("Attachment", "EI"))

Run separate meta-regressions for a series of moderators

regTable(data = mydata, moderators = c("A_dimension", "EI_con"), es = "yi", vi = "vi", study.id = "study_id", labels = c("Attachment", "EI"))

To do

Alow for multiple groiping factors to be inputed into the subGroups function at once

Allow for multiple predictors in the meta-regressions for a single moderator

Allow for specified covariates in the meta-regression for sets of moderators

kitdouble/metaTables documentation built on March 29, 2020, 2:29 p.m.