| eq5dsuite-package |
eq5dsuite: Standardised Tools for EQ-5D Analysis |
| .add_utility |
Add utility values to a data frame |
| .check_uniqueness |
Check the uniqueness of groups This function takes a data frame 'df' and a vector of columns 'group_by', and checks whether the combinations of values in the columns specified by 'group_by' are unique. If the combinations are not unique, a warning message is printed. |
| .EQxwrprob |
.EQxwrprob |
| .freqtab |
Helper function for frequency of levels by dimensions tables |
| .gen_colours |
Generate colours for PCHC figures |
| .getmode |
Get the mode of a vector. |
| .get_lfs |
Calculate the Level Frequency Score (LFS) |
| .get_names |
Replace NULL names with default values |
| .modify_ggplot_theme |
Modify ggplot2 theme |
| .pchc |
Wrapper to determine Paretian Classification of Health Change |
| .pchctab |
.pchctab: Changes in health according to the PCHC (Paretian Classification of Health Change) |
| .pchc_plot_by_dim |
Wrapper to generate Paretian Classification of Health Change plot by dimension |
| .prep_eq5d |
Data checking/preparation: EQ-5D variables |
| .prep_fu |
Data checking/preparation: follow-up variable |
| .prep_vas |
Data checking/preparation: VAS variable |
| .pstate3t5 |
.pstate3t5 |
| .pstate5t3 |
.pstate5t3 |
| .summary_cts_by_fu |
Wrapper to summarise a continuous variable by follow-up (FU) |
| .summary_mean_ci |
Wrapper to calculate summary mean with 95% confidence interval |
| .summary_table_2_1 |
Wrapper for the repetitive code in function_table_2_1. Data frame summary |
| .summary_table_4_3 |
Summary wrapper for Table 4.3 |
| .summary_table_4_4 |
Summary wrapper for Table 4.4 |
| eq5d |
eq5d |
| eq5d3l |
eq5d3l |
| eq5d5l |
eq5d5l |
| eq5dsuite |
eq5dsuite: Standardised Tools for EQ-5D Analysis |
| eq5dy3l |
eq5dy3l |
| eq5d_profile_better_dimensions_by_group_plot |
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. |
| eq5d_profile_change_summary |
eq5d_profile_change_summary: Frequency of levels by dimensions, by follow-up |
| eq5d_profile_density_curve |
eq5d_profile_density_curve: Generate a Health State Density Curve (HSDC) for EQ-5D Data |
| eq5d_profile_dimension_change_table |
eq5d_profile_dimension_change_table: Changes in levels in each dimension, percentages of total and of type of change |
| eq5d_profile_health_profile_grid |
eq5d_profile_health_profile_grid: Health Profile Grid (HPG) for Two Time Points |
| eq5d_profile_level_summary |
eq5d_profile_level_summary: Frequency of levels by dimensions, cross-sectional |
| eq5d_profile_level_summary_by_group |
eq5d_profile_level_summary_by_group: Frequency of levels by dimensions, separated by category |
| eq5d_profile_lfs_distribution |
eq5d_profile_lfs_distribution: Distribution of the EQ-5D states by LFS (Level Frequency Score) |
| eq5d_profile_lfs_mean_utility |
eq5d_profile_lfs_mean_utility: Number of observations in the LFS (Level Frequency Score) according to the EQ-5D values |
| eq5d_profile_lfs_utility_plot |
eq5d_profile_lfs_utility_plot: EQ-5D values plotted against LFS |
| eq5d_profile_lfs_utility_summary |
eq5d_profile_lfs_utility_summary: Summary statistics of EQ-5D values by LFS (Level Frequency Score) |
| eq5d_profile_lss_utility_plot |
eq5d_profile_lss_utility_plot: EQ-5D values plotted against LSS |
| eq5d_profile_lss_utility_summary |
eq5d_profile_lss_utility_summary: Summary statistics for the EQ-5D values by all the different LSSs (Level Sum Scores) |
| eq5d_profile_mixed_dimensions_by_group_plot |
eq5d_profile_mixed_dimensions_by_group_plot: Percentage of Respondents Who Had a Mixed Change Overall, by Dimension Improved or Worsened, Grouped by Procedure (or Other Grouping) |
| eq5d_profile_pchc_by_group_plot |
eq5d_profile_pchc_by_group_plot: Paretian Classification of Health Change (PCHC) by Group This function computes PCHC categories between two time points for each subject, stratifies them by a grouping variable, and produces a single bar chart with side-by-side bars showing the distribution of PCHC categories. |
| eq5d_profile_pchc_table |
eq5d_profile_pchc_table: Changes in health according to the PCHC (Paretian Classification of Health Change) |
| eq5d_profile_pchc_with_no_problems_table |
eq5d_profile_pchc_with_no_problems_table: Changes in health according to the PCHC, taking account of those with no problems |
| eq5d_profile_top_states |
eq5d_profile_top_states: Prevalence of the 10 most frequently observed self-reported health states |
| eq5d_profile_worse_dimensions_by_group_plot |
This function identifies respondents with a "Worsen" PCHC state (i.e., overall health state got worse between levels_fu[1] and levels_fu[2]), checks dimension-specific changes (e.g., mo_diff < 0), and summarizes by a grouping variable (e.g., procedure) and time points. It returns a data table and a ggplot object. |
| eq5d_utility_by_group_plot |
eq5d_utility_by_group_plot: Mean EQ-5D values and 95% confidence intervals: all vs by groupvar |
| eq5d_utility_change_by_group_plot |
eq5d_utility_change_by_group_plot: EQ-5D values: smoothed lines and confidence intervals by groupvar |
| eq5d_utility_distribution_plot |
eq5d_utility_distribution_plot: EQ-5D values: smoothed lines and confidence intervals by groupvar |
| eq5d_utility_norms_comparison |
eq5d_utility_norms_comparison:EQ-5D values: by age and groupvar |
| eq5d_utility_over_time_plot |
eq5d_utility_over_time_plot: EQ-5D values by timepoints: mean values and 95% confidence intervals |
| eq5d_utility_summary |
eq5d_utility_summary: EQ-5D values: by timepoints |
| eq5d_utility_summary_by_group |
eq5d_utility_summary_by_group:EQ-5D values: by groupvar |
| eq5d_utility_vas_scatter_plot |
eq5d_utility_vas_scatter_plot: EQ-5D values: smoothed lines and confidence intervals by groupvar |
| eq5d_vas_distribution_table |
eq5d_vas_distribution_table: EQ VAS Scores frequency of mid-points |
| eq5d_vas_grouped_distribution_plot |
eq5d_vas_grouped_distribution_plot: Mid-point EQ VAS scores |
| eq5d_vas_histogram |
eq5d_vas_histogram: EQ VAS scores |
| eq5d_vas_summary |
eq5d_vas_summary: EQ VAS Score by timepoints |
| eqvs_add |
eqvs_add |
| eqvs_display |
eqvs_display |
| eqvs_drop |
eqvs_drop |
| eqvs_load |
eqvs_load |
| eqxw |
eqxw |
| eqxwr |
eqxwr |
| eqxw_UK |
eqxw_UK |
| example_data |
example_data |
| make_all_EQ_indexes |
make_all_EQ_indexes |
| make_all_EQ_states |
make_all_EQ_states |
| make_dummies |
EQ_dummies |
| run_app |
Launch the eq5dsuite Shiny Application |
| toEQ5Ddims |
toEQ5Ddims |
| toEQ5Dindex |
Convert EQ-5D dimension scores to a five-digit profile index |
| update_value_sets |
Update eq5dsuite value sets |
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