Trade-off plot

Generate trade-off plot

generate_tradeoff_plot(
  data,
  filter,
  category,
  benefit,
  risk,
  type_risk,
  type_graph,
  ci,
  ci_method,
  cl,
  mab,
  mar,
  threshold,
  ratio,
  b1,
  b2,
  b3,
  b4,
  b5,
  b6,
  b7,
  b8,
  b9,
  b10,
  r1,
  r2,
  r3,
  r4,
  r5,
  r6,
  r7,
  r8,
  r9,
  r10,
  testdrug,
  type_scale,
  lower_x,
  upper_x,
  lower_y,
  upper_y,
  chartcolors
)

Arguments

data

(data.frame) input dataset

filter

(character) selected filter

category

(character) selected category

benefit

(character) selected benefit outcome

risk

(character) selected risk outcome

type_risk

(character) selected way to display risk outcomes (crude proportions, Exposure-adjusted rates (per 100 PYs))

type_graph

(character) selected way to display binary outcomes (Absolute risk, Relative risk, Odds ratio)

ci

(character) selected choice to display confidence intervals or not (Yes, No)

ci_method

(character) selected method to display confidence intervals (Supplied, Calculated)

cl

(numeric) confidence level

mab

(numeric) specified minimum acceptable benefit

mar

(numeric) specified maximum acceptable risk

threshold

(character) selected way to set benefit-risk threshold (None, Straight line, Segmented line, Smooth curve)

ratio

(numeric) specified maximum acceptable ratio between risk and benefit

b1, b2, b3, b4, b5, b6, b7, b8, b9, b10

(numeric) specified benefit

r1, r2, r3, r4, r5, r6, r7, r8, r9, r10

(numeric) specified risk tolerance

testdrug

(character) selected choice to display test drug or not (Yes, No)

type_scale

(character) selected scale display type (Fixed, Free)

lower_x, upper_x, lower_y, upper_y

(numeric) specified axis limits

chartcolors

(vector) a vector of colors, the same number of levels as the number of treatments

Value

a ggplot object

Examples

generate_tradeoff_plot(
  data = effects_table, filter = "None", category = "All",
  benefit = "Primary Efficacy", risk = "Reoccurring AE",
  type_risk = "Crude proportions", type_graph = "Absolute risk",
  ci = "Yes", ci_method = "Calculated", cl = 0.95,
  mab = 0.05,
  mar = 0.45,
  threshold = "Segmented line",
  ratio = 4,
  b1 = 0.05,
  b2 = 0.1,
  b3 = 0.15,
  b4 = 0.2,
  b5 = 0.25,
  b6 = 0.3,
  b7 = 0.35,
  b8 = 0.4,
  b9 = 0.45,
  b10 = 0.5,
  r1 = 0.09,
  r2 = 0.17,
  r3 = 0.24,
  r4 = 0.3,
  r5 = 0.35,
  r6 = 0.39,
  r7 = 0.42,
  r8 = 0.44,
  r9 = 0.45,
  r10 = 0.45,
  testdrug = "Yes",
  type_scale = "Free",
  lower_x = 0,
  upper_x = 0.5,
  lower_y = 0,
  upper_y = 0.5,
  chartcolors = colfun()$fig7_colors
)
#> [2024-07-17 15:32:15] >
#> absolute risk CI for binary outcomes is calculated and saved
#> [2024-07-17 15:32:15] >
#> absolute risk CI for binary outcomes is calculated and saved
#> [2024-07-17 15:32:15] > prepare tradeoff data
#> [2024-07-17 15:32:15] > prepare trade-off plot
#> [2024-07-17 15:32:15] > update final trade-off plot