View source: R/fct_costeffectiveness.R
plot_ce_mult | R Documentation |
This function plots the cost-effectiveness plane for an infinite amount of strategies .
plot_ce_mult(df, outcomes, costs, ellipse = FALSE, currency = "euro")
df |
a dataframe. |
outcomes |
character. Vector of variable names containing the outcomes to be plotted on the x-axis. The variable names should be structured as follows: 't_qaly_d_' followed by the name of the strategy: e.g. 't_qaly_d_intervention'. |
costs |
character. Vector of variable names containing the costs to be plotted on the y-axis. The variable names should be structured as follows: 't_costs_d_' followed by the name of the strategy: e.g. 't_costs_d_intervention'. |
ellipse |
logical. Determines whether plot should plot the dots of each iteration (default, ellipse = FALSE), or whether the mean outcomes and costs and their 95procent confidence ellipses should be plotted (TRUE). |
currency |
character. Default is "euro". Determines the currency sign to use in the incremental cost effectiveness plane. Currently included signs: "euro", "dollar", "yen", "none". |
A ggplot2 graph. # Plot cost effectiveness plane as ellipses data("df_pa") df_pa$t_qaly_d_int2 <- df_pa$t_qaly_d_int * 1.5 # creating additional outcome variable df_pa$t_costs_d_int2 <- df_pa$t_costs_d_int * 1.5 # creating additional cost variable plot_ce_mult(df = df_pa, outcomes = c("t_qaly_d_int", "t_qaly_d_comp", "t_qaly_d_int2"), costs = c("t_costs_d_int","t_costs_d_comp", "t_costs_d_int2"), ellipse = TRUE)
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