summarize_control_quality {metaconfoundr} | R Documentation |
Summarize the control quality of studies
Description
summarize_control_quality()
allows you to summarize how well studies
control for variables within one or more domains, and how well those domains
are controlled for overall. Each logical statement is a domain and can be
named.
Usage
summarize_control_quality(.df, ..., domains = TRUE)
Arguments
.df |
A data frame, usually the result of |
... |
Boolean arguments to declare adequate control logic |
domains |
Logical. Include the domains in the output? If |
Value
A tibble
Examples
summary_df <- summarize_control_quality(
metaconfoundr(ipi),
Sociodemographics = `Maternal age` & `Race/ethnicity` & `Marital status`,
Socioeconomics = `SES category` | Insurance & Education,
"Reproductive Hx" = `Prior pregnancy outcome`
)
summary_df
summary_df %>%
mc_trafficlight() +
theme_mc() +
facet_constructs() +
geom_cochrane() +
scale_fill_cochrane()
[Package metaconfoundr version 0.1.2 Index]