| .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 |
| eq5dy3l | eq5dy3l |
| 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 |
| figure_1_2_1 | Figure 1.2.1: 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. |
| figure_1_2_2 | Figure 1.2.2: 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. |
| figure_1_2_3 | Figure 1.2.3: Percentage of Respondents Who Worsened in Each EQ-5D Dimension, by Group |
| figure_1_2_4 | Figure 1.2.4: Percentage of Respondents Who Had a Mixed Change Overall, by Dimension Improved or Worsened, Grouped by Procedure (or Other Grouping) |
| figure_1_2_5 | Figure 1.2.5: Health Profile Grid (HPG) for Two Time Points |
| figure_1_3_1 | Figure 1.3.1: EQ-5D values plotted against LSS |
| figure_1_3_2 | Figure 1.3.2: EQ-5D values plotted against LFS |
| figure_1_4_1 | Figure 1.4.1: Generate a Health State Density Curve (HSDC) for EQ-5D Data |
| figure_2_1 | Figure 2.1: EQ VAS scores |
| figure_2_2 | Figure 2.2: Mid-point EQ VAS scores |
| figure_3_1 | Figure 3.1: EQ-5D values by timepoints: mean values and 95% confidence intervals |
| figure_3_2 | Figure 3.2: Mean EQ-5D values and 95% confidence intervals: all vs by groupvar |
| figure_3_3 | Figure 3.3: EQ-5D values: smoothed lines and confidence intervals by groupvar |
| figure_3_4 | Figure 3.4: EQ-5D values: smoothed lines and confidence intervals by groupvar |
| figure_3_5 | Figure 3.5: EQ-5D values: smoothed lines and confidence intervals by groupvar |
| make_all_EQ_indexes | make_all_EQ_indexes |
| make_all_EQ_states | make_all_EQ_states |
| make_dummies | EQ_dummies |
| table_1_1_1 | Table 1.1.1: Frequency of levels by dimensions, cross-sectional |
| table_1_1_2 | Table 1.1.2: Frequency of levels by dimensions, separated by category |
| table_1_1_3 | Table 1.1.3: Prevalence of the 10 most frequently observed self-reported health states |
| table_1_2_1 | Table 1.2.1: Frequency of levels by dimensions, by follow-up |
| table_1_2_2 | Table 1.2.2: Changes in health according to the PCHC (Paretian Classification of Health Change) |
| table_1_2_3 | Table 1.2.3: Changes in health according to the PCHC, taking account of those with no problems |
| table_1_2_4 | Table 1.2.4: Changes in levels in each dimension, percentages of total and of type of change |
| table_1_3_1 | Table 1.3.1: Summary statistics for the EQ-5D values by all the different LSSs (Level Sum Scores) |
| table_1_3_2 | Table 1.3.2: Distribution of the EQ-5D states by LFS (Level Frequency Score) |
| table_1_3_3 | Table 1.3.3: Number of observations in the LFS (Level Frequency Score) according to the EQ-5D values |
| table_1_3_4 | Table 1.3.4: Summary statistics of EQ-5D values by LFS (Level Frequency Score) |
| table_2_1 | Table 2.1: EQ VAS Score by timepoints |
| table_2_2 | Table 2.2: EQ VAS Scores frequency of mid-points |
| table_3_1 | Table 3.1: EQ-5D values: by timepoints |
| table_3_2 | Table 3.2 EQ-5D values: by groupvar |
| table_3_3 | Table 3.3 EQ-5D values: by age and groupvar |
| toEQ5Ddims | toEQ5Ddims |
| toEQ5Dindex | toEQ5DIndex |