metaconfoundr() {metaconfoundr} | R Documentation |
Prepare a meta-analysis data set for metaconfoundr
Description
metaconfoundr()
standardizes data frames with information on how well a set
of studies control for a set of variables. In this approach, a set of domain
experts agree on the variables that are required to properly control for
confounding for a scientific question. Then, for a given confounder, the
studies are described as being adequately controlled, inadequately
controlled, or controlled with some concerns. metaconfoundr()
is intended
to standardize data for use in mc_heatmap()
and mc_trafficlight()
.
See the vignette on data preparation for more information on how to set up
your evaluation.
Usage
metaconfoundr(.df, data_format = mc_detect_layout())
Arguments
.df |
A data frame. See the vignette on data preparation for more details. |
data_format |
The format of the data. Detected automatically by default,
but explicit options include |
Value
a tibble
Examples
metaconfoundr(ipi)
metaconfoundr(ipi_wide)
ipi_wide2 <- ipi_wide %>%
dplyr::rename(scope = construct)
metaconfoundr(ipi_wide2, mc_wider(construct = "scope"))