Man pages for ggpmisc
Miscellaneous Extensions to 'ggplot2'
| annotate | Annotations supporting NPC |
| compute_npcx | Compute npc coordinates |
| FC_format | Formatter for fold change tick labels |
| FC_name | Fold change- axis labels |
| find_peaks | Find local maxima or global maximum (peaks) |
| geom_grob | Inset graphical objects |
| geom_linked_text | Linked Text |
| geom_plot | Inset plots |
| geom_quadrant_lines | Reference lines: horizontal plus vertical, and quadrants |
| geom_table | Inset tables |
| geom_text_npc | Text with Normalised Parent Coordinates |
| geom_x_margin_arrow | Reference arrows on the margins |
| geom_x_margin_grob | Add Grobs on the margins |
| geom_x_margin_point | Reference points on the margins |
| ggplot | Create a new ggplot plot from time series data |
| ggpmisc-ggproto | 'Stat*' Objects |
| ggpmisc-package | ggpmisc: Miscellaneous Extensions to 'ggplot2' |
| moved-to-gginnards | Moved to package 'gginnards' |
| outcome2factor | Convert numeric ternary outcomes into a factor |
| position_nudge_center | Nudge labels away from a central point |
| position_nudge_line | Nudge labels away from a line |
| position_nudge_to | Nudge labels to new positions |
| quadrant_example.df | Example gene expression data |
| reverselog_trans | Reverse log transformation |
| scale_colour_outcome | Colour and fill scales for ternary outcomes |
| scale_continuous_npc | Position scales for continuous data (npcx & npcy) |
| scale_shape_outcome | Shape scale for ternary outcomes |
| scale_x_logFC | Position scales for log fold change data |
| scale_y_Pvalue | Covenience scale for P-values |
| stat_apply | Apply a function to x or y values |
| stat_dens1d_filter | Filter observations by local 1D density |
| stat_dens1d_labels | Replace labels in data based on 1D density |
| stat_dens2d_filter | Filter observations by local 2D density |
| stat_dens2d_labels | Replace labels in data based on 2D density |
| stat_fit_augment | Augment data with fitted values and statistics |
| stat_fit_deviations | Residuals from model fit as segments |
| stat_fit_glance | One row summary data frame for a fitted model |
| stat_fit_residuals | Residuals from a model fit |
| stat_fit_tb | Model-fit summary or ANOVA |
| stat_fit_tidy | One row data frame with fitted parameter estimates |
| stat_fmt_tb | Select and slice a tibble nested in 'data' |
| stat_peaks | Local maxima (peaks) or minima (valleys) |
| stat_poly_eq | Equation, p-value, R^2, AIC or BIC of fitted polynomial |
| stat_quadrant_counts | Number of observations in quadrants |
| symmetric_limits | Expand a range to make it symmetric |
| try_data_frame | Convert an R object into a tibble |
| ttheme_gtdefault | Table themes |
| ttheme_set | Set default table theme |
| volcano_example.df | Example gene expression data |
| xy_outcomes2factor | Convert two numeric ternary outcomes into a factor |
