plot_tornado: Tornado Plot for Deterministic Sensitivity Analysis
In ielbadisy/CEACT: Cost-Effectiveness Analysis Toolkit for Clinical Trials
plot_tornado R Documentation
Tornado Plot for Deterministic Sensitivity Analysis
Description
Creates a tornado plot from a data frame generated by dsa_icer().
Usage
plot_tornado(df, metric = "ICER")
Arguments
df
A data frame from dsa_icer().
metric
Character string. Either "ICER" or "NMB". Must match the column name in df.
Value
A ggplot2 tornado-style line plot.
Examples
# Simulated deterministic sensitivity analysis result
dsa_result <- data.frame(
Parameter = c("Cost A", "Cost B", "Effect A"),
ICER = c(1000, 1200, 800),
NMB = c(20000, 19500, 21000)
)
ielbadisy/CEACT documentation built on June 11, 2025, 9:19 p.m.
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| plot_tornado | R Documentation |
Tornado Plot for Deterministic Sensitivity Analysis
Description
Creates a tornado plot from a data frame generated by dsa_icer().
Usage
plot_tornado(df, metric = "ICER")
Arguments
df |
A data frame from |
metric |
Character string. Either "ICER" or "NMB". Must match the column name in |
Value
A ggplot2 tornado-style line plot.
Examples
# Simulated deterministic sensitivity analysis result
dsa_result <- data.frame(
Parameter = c("Cost A", "Cost B", "Effect A"),
ICER = c(1000, 1200, 800),
NMB = c(20000, 19500, 21000)
)
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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