Dot and Forest plots data — pre

Prepare data for Dot and Forest plots

pre_proc(data, typeval, cod)

prepare_dot_forest_plot_data(
  data,
  drug,
  benefit,
  risk,
  filters,
  category,
  type_graph,
  type_risk,
  ci_method = c("Supplied", "Calculated"),
  space_btwn_out_yn = "Y"
)

Arguments

data: (data.frame) dataset.
typeval: (character) Benefit or Risk
cod: (character) identifier either c - continuous or b for binary
drug: (character) selected drug.
benefit: (character) selected benefit.
risk: (character) selected risk.
filters: (character) selected filter.
category: (character) selected category.
type_graph: (character) selected way to display binary outcomes (absolute risk, relative risk, odds ratio).
type_risk: (character) selected way to display risk outcomes (crude proportions, exposure-adjusted rates per 100 PYs
ci_method: (character) confidence interval method, either Supplied (taken from the effect table) or Calculated (calculated within the program).
space_btwn_out_yn: (character) control spacing between outcomes

Functions

pre_proc(): adds a variable in dataframe which identifies whether the dataframe is for Benefit or Risk analysis.

Examples

dot_plot_src <- subset(effects_table, !is.na(Prop1))
bdin <- subset(dot_plot_src, Factor == "Benefit")
rdin <- subset(dot_plot_src, Factor == "Risk")

fplot_data <- prepare_dot_forest_plot_data(
  data = dot_plot_src,
  drug = unique(dot_plot_src$Trt1),
  benefit = unique(bdin$Outcome),
  risk = unique(rdin$Outcome),
  filters = "None",
  category = "All",
  type_graph = "Absolute risk",
  type_risk = "Crude proportions",
  ci_method = "Calculated",
  space_btwn_out_yn = "N"
)
#> [2024-08-24 23:58:52] > Prepare Dot plot data for binary outcomes
#> [2024-08-24 23:58:52] > trigger analysis based on type
#> [2024-08-24 23:58:52] >
#> absolute risk CI for binary outcomes is calculated and saved
#> [2024-08-24 23:58:52] > Prepare Forest plot data for absolute risk
#> [2024-08-24 23:58:52] > Prepare Dot plot data for binary outcomes
#> [2024-08-24 23:58:52] > trigger analysis based on type
#> [2024-08-24 23:58:52] >
#> absolute risk CI for binary outcomes is calculated and saved
#> [2024-08-24 23:58:52] > Prepare Forest plot data for absolute risk
#> [2024-08-24 23:58:52] > Dataout object from the create_order_label_der function is created
#> [2024-08-24 23:58:52] > Prepare data for Dot and Forest plots