eq5d_profile_better_dimensions_by_group_plot: eq5d_profile_better_dimensions_by_group_plot: Percentage of...

In eq5dsuite: Handling and Analysing EQ-5d Data

eq5d_profile_better_dimensions_by_group_plot: Percentage of Respondents Who Improved in Each EQ-5D Dimension, by Group This function calculates how many respondents improved in each dimension between two time points and summarizes the results for each group. The, it prodcuces a dimension-focused chart illustrating improvement percentages by dimension.

Description

eq5d_profile_better_dimensions_by_group_plot: Percentage of Respondents Who Improved in Each EQ-5D Dimension, by Group This function calculates how many respondents improved in each dimension between two time points and summarizes the results for each group. The, it prodcuces a dimension-focused chart illustrating improvement percentages by dimension.

Usage

eq5d_profile_better_dimensions_by_group_plot(
  df,
  name_id,
  name_groupvar = NULL,
  names_eq5d = NULL,
  name_fu = NULL,
  levels_fu = NULL
)

Arguments

df	Data frame containing EQ-5D columns, a grouping variable, an ID column, and a follow-up column
name_id	Character string for the patient ID column
name_groupvar	Character string for the grouping column (e.g. procedure). If NULL (default), the analysis is performed on the full population.
names_eq5d	Character vector of EQ-5D dimension names
name_fu	Character string for the follow-up column
levels_fu	Character vector of length 2, specifying the order of the follow-up levels (e.g. c("Pre-op","Post-op"))

Value

A list containing:

plot_data	A data frame of improvements by group and dimension
p	A ggplot2 object produced by '.pchc_plot_by_dim()'

Examples

result <- eq5d_profile_better_dimensions_by_group_plot(
  df = example_data,
  name_id = "id",
  name_groupvar = "procedure",
  names_eq5d = c("mo", "sc", "ua", "pd", "ad"),
  name_fu = "time",
  levels_fu = c("Pre-op","Post-op")
)
result$p
result$plot_data

eq5dsuite documentation built on May 14, 2026, 5:07 p.m.