This function creates a "tornado" plot using the ggplot2 package. These are primarily used to display results of a sensitivity analysis.
ggtornado(data, baseline, var, level, value, result)Arguments
- data
A data frame containing the results of a sensitivity analysis.
- baseline
The baseline value for the sensitivity analysis.
- var
The data column identifying the variable name being varied.
- level
The data column identifying the sensitivity case level (usually 'high' or 'low', relative to the baseline).
- value
The data column identifying the value of the variable being varied.
- result
The data column identifying the result when the variable 'var' is set at the value of 'value'.
Examples
# Create an example data frame of a sensitivity analysis - columns:
# 'var' <- The name of the variable being varied.
# 'level' <- 'high' or 'low' (relative to the baseline).
# 'value' <- The value of the variable being varied.
# 'result' <- The result of the output value at the varied variable value.
data <- data.frame(
var = c('price', 'price', 'fuelEconomy', 'fuelEconomy',
'accelTime', 'accelTime'),
level = rep(c('high', 'low'), 3),
value = c(10, 20, 25, 15, 10, 6),
result = c(0.95, 0.15, 0.90, 0.60, 0.85, 0.75)
)
# Make a tornado plot of the sensitivity analysis results:
library(ggplot2)
ggtornado(
data = data,
baseline = 0.8, # Baseline result
var = 'var',
level = 'level',
value = 'value',
result = 'result'
)
