label_robins: Label values using ROBINS approach
In metaconfoundr: Visualize 'Confounder' Control in Meta-Analyses
label_robins R Documentation
Label values using ROBINS approach
Description
label_robins() is a helper function to modify metaconfoundr labels to use
ROBINS-like labels: low risk, some concerns, high risk.
Usage
label_robins()
Value
a character vector of ROBINS labels
Examples
mc_heatmap(metaconfoundr(ipi)) +
ggplot2::scale_fill_ordinal(labels = label_robins())
mc_heatmap(metaconfoundr(ipi)) +
scale_fill_cochrane(labels = label_robins())
metaconfoundr documentation built on Jan. 18, 2023, 1:10 a.m.
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| label_robins | R Documentation |
Label values using ROBINS approach
Description
label_robins() is a helper function to modify metaconfoundr labels to use
ROBINS-like labels: low risk, some concerns, high risk.
Usage
label_robins()
Value
a character vector of ROBINS labels
Examples
mc_heatmap(metaconfoundr(ipi)) + ggplot2::scale_fill_ordinal(labels = label_robins()) mc_heatmap(metaconfoundr(ipi)) + scale_fill_cochrane(labels = label_robins())
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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