
Package index
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read_cohort_csv() - Read a "French" CSV file
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path_resolve_nfc() - Resolve a path whose accented characters are stored differently on disk
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clean_colnames() - Clean column names
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rename_with_map() - Rename columns with a named vector
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catalog_vars() - Catalogue of the variables, by block
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visit_add_deltas() - Change between two visits
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visit_map_suffix() - Map unusual visit suffixes to the
<ROOT>_<VISIT>convention -
visit_root()visit_swap() - Visit suffixes of variable names
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visit_to_long() - Wide
<ROOT>_<VISIT>data to long format -
combine_bilateral() - Mean of the left and right sides of a bilateral measure
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outlier_detect()outlier_mask() - Table of outliers and masking
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outlier_flag_mad()outlier_flag_iqr() - Robust outlier rules
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transform_boxcox()transform_boxcox_resid()transform_apply_resid() - Box-Cox decision with car's documented rule
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transform_compare()transform_choose()transform_propagate()transform_apply() - Compare, choose and apply transformations
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describe_cohort() - Overview table of a cohort
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describe_normality() - Normality of each variable
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na_summary()na_complete_cases() - Missing values per variable and complete cases per variable set
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cor_partial_spearman()cor_matrix_test() - Correlations
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pca_compute()pca_scores_join() - Principal component analysis
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score_composite() - Composite score per domain
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plot_cor_heatmap()plot_cor_cross() - Correlation heatmaps
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plot_delta_vs_baseline() - Change versus baseline value
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plot_distribution() - Distribution of one or several variables
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plot_distribution_overview() - Overlaid standardised densities of a block of variables
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plot_forest() - Annotated forest plot
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plot_na_map() - Missing-data map
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plot_paired_visits() - Paired visits: one line per subject between two visits
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plot_pca_scree()plot_pca_ind()plot_pca_var()plot_pca_contrib()plot_pca_distribution() - Figures of a principal component analysis
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plot_radar() - Radar plot comparing groups on several variables
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plot_trajectories()plot_trajectory_grid() - Individual trajectories across visits (spaghetti plot)
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theme_pub() - Publication theme for ggplot2
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theme_rotate_x() - Rotated x-axis labels that stay attached to their tick
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pal_okabe_ito()pal_levels() - Colour palettes
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fmt_sci()fmt_num()fmt_p()fmt_stars() - Format numbers and p-values for figures and tables
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label_get()label_expand() - Readable labels of variables
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gt_pub() - Publication table with gt
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gt_sig_colors() - Colours of significance highlighting
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gt_signif()gt_highlight_rows()gt_signif_legend() - Highlight significant results in gt tables
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dt_export() - Interactive table with export buttons
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qmd_tabset()qmd_callout_raw() - Quarto output from a
results: asischunk
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cohort_sim - Simulated clinical cohort with two visits